From 297d221f6aff78411411843a898358e120718395 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Mon, 5 Feb 2018 23:19:27 +0100 Subject: [PATCH 01/27] Started preparing for release 5.4-rc1 --- RELEASE_NOTES.txt | 26 +++++++++----------------- rtdata/images/rt_splash.svg | 8 ++++---- rtdata/images/splash.png | Bin 79526 -> 79266 bytes 3 files changed, 13 insertions(+), 21 deletions(-) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index ee44c6de1..4be529939 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -1,17 +1,9 @@ -RAWTHERAPEE 5.3-dev RELEASE NOTES ------------------------------ -This is a development version of RawTherapee. We update the code almost daily. Every few months, once enough changes have accumulated and the code is stabilized, we make a new official release. Every code change between these releases is known as a "development" version, and this is one of them. +RAWTHERAPEE 5.4-RC1 RELEASE NOTES +--------------------------------- +This is RawTherapee 5.4 Release Candidate 1, released on 2017-09-25. -RawTherapee provides you with a selection of powerful tools with which you can practise the art of developing raw photos. Be sure to read RawPedia to understand how each tool works so that you may make the most of it. +Start by reading the "Getting Started" article on RawPedia: http://rawpedia.rawtherapee.com/ -A great place to start is the "Getting Started" article. Click on "Main page" in the top-left corner when you have finished reading that article to see all other articles. - -While we only commit tested and relatively stable code and so the development versions should be fairly stable, you should be aware that: -- Development versions only had limited testing, so there may be bugs unknown to us. -- You should report these bugs so that they get fixed for the next stable release. See - www.rawpedia.rawtherapee.com/How_to_write_useful_bug_reports -- The way new tools work in the development versions is likely to change as we tweak and tune them, so your processing profiles may produce different results when used in a future stable version. -- Bugs present in the stable versions get fixed in the development versions, and make it into the next stable version when we make a new official release. That means that in some ways the development versions can be "more stable" than the latest stable release. At the same time, new features may introduce new bugs. This is a trade-off you should be aware of. News Relevant to Photographers ------------------------------ @@ -22,7 +14,7 @@ In order to use RawTherapee efficiently you should know that: - You can scroll all panels using the mouse scroll-wheel. - You can right-click on a tool's name to automatically expand it while collapsing all others. - To change slider values or drop-down list items with the mouse scroll-wheel, hold the Shift key. This is so that you can safely scroll the panels without accidentally changing a slider or other tool setting. -- All curves support the Shift and Ctrl keys while dragging a point. Shift+drag makes the point snap to meaningful axes (top, bottom, diagonal, other), while Ctrl+drag makes your mouse movement super-fine for precise point positioning. +- All curves support the Shift and Ctrl keys while dragging a point. Shift+drag makes the point snap to a meaningful axis (top, bottom, diagonal, other), while Ctrl+drag makes your mouse movement super-fine for precise point positioning. - There are many keyboard shortcuts which make working with RawTherapee much faster and give you greater control. Make sure you familiarize yourself with them on RawPedia's "Keyboard Shortcuts" page! New features since 5.3: @@ -63,10 +55,10 @@ RawTherapee shares a forum with users and developers of other Free/Libre/Open So https://discuss.pixls.us/c/software/rawtherapee LIVE CHAT WITH USERS AND DEVELOPERS --------------------------------------- -  Network: freenode -  Server:  chat.freenode.net -  Channel: #rawtherapee +----------------------------------- +Network: freenode +Server: chat.freenode.net +Channel: #rawtherapee You can use freenode webchat to communicate without installing anything: http://webchat.freenode.net/?randomnick=1&channels=rawtherapee&prompt=1 diff --git a/rtdata/images/rt_splash.svg b/rtdata/images/rt_splash.svg index c80cdd5c7..da4791a50 100644 --- a/rtdata/images/rt_splash.svg +++ b/rtdata/images/rt_splash.svg @@ -15,7 +15,7 @@ viewBox="0 0 146.05 91.545836" version="1.1" id="svg783" - inkscape:version="0.92.1 r" + inkscape:version="0.92.2 5c3e80d, 2017-08-06" sodipodi:docname="rt_splash.svg" inkscape:export-filename="/tmp/splash.png" inkscape:export-xdpi="96" @@ -518,7 +518,7 @@ inkscape:pageopacity="0.0" inkscape:pageshadow="2" inkscape:zoom="1.6106713" - inkscape:cx="274.80436" + inkscape:cx="282.87553" inkscape:cy="87.101745" inkscape:document-units="mm" inkscape:current-layer="layer1" @@ -902,7 +902,7 @@ y="2.2370076" x="283.85016" id="tspan3664" - sodipodi:role="line">. 3 + sodipodi:role="line">. 4 Development + style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:17.06666598px;line-height:110.00000238%;font-family:'ITC Eras Std';-inkscape-font-specification:'ITC Eras Std Bold';text-align:end;letter-spacing:-1.06666672px;text-anchor:end;fill:#ffffff;stroke-width:1.06666672px">Release Candidate 1 diff --git a/rtdata/images/splash.png b/rtdata/images/splash.png index 701ef02bf3ef99abaaadf393033d0fc2fb46bf89..52343af79f57d4c555e95e5d5c8981b5de1b737a 100644 GIT binary patch delta 34905 zcmXtfWmH^E(`^KjAVCLr_u%f%;O-LKJy?+QV1Yry;BJGvL$CmYLr8FUcY^yR?_J;D 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Start by reading the "Getting Started" article on RawPedia: http://rawpedia.rawtherapee.com/ News Relevant to Photographers ------------------------------ -RawTherapee supports most raw formats, including Pentax Pixel Shift, Canon Dual-Pixel, and those from Foveon and X-Trans sensors. +RawTherapee supports most raw formats, including Pentax and Sony Pixel Shift, Canon Dual-Pixel, and those from Foveon and X-Trans sensors. If you're wondering whether it supports your camera's raw format, first download RawTherapee and try for yourself. If a raw format is not supported it will either not open, or the preview in the Editor tab will appear black, white, or have a strong color cast - usually magenta. In that case, read the "Adding Support for New Raw Formats" RawPedia article. In order to use RawTherapee efficiently you should know that: @@ -18,26 +18,43 @@ In order to use RawTherapee efficiently you should know that: - There are many keyboard shortcuts which make working with RawTherapee much faster and give you greater control. Make sure you familiarize yourself with them on RawPedia's "Keyboard Shortcuts" page! New features since 5.3: -- To be filled in when 5.4 is released. +- New default processing profiles, now the default look for raw photos closely matches the out-of-camera look with regard to tones and includes lens distortion and vignetting correction. +- New histogram matching tool, to have RawTherapee automatically adjust the image for you to match the out-of-camera look with a single click of a button. +- New HDR Tone Mapping tool to compress the light in scenes with a high dynamic range, allowing you to show details in both shadows and highlights in a realistic way. +- New Local Contrast tool to boost clarity using a simple interface. +- New color toning method L*a*b* Color Correction Grid. +- New RCD demosaicing algorithm to minimize artifacts even with artificial lighting and strong chromatic aberration. +- Added support for showing out-of-gamut areas based on the output profile. +- Added support for reading and writing metadata and ICC profiles to and from PNG images. +- Added support for processing Sony Pixel Shift ARQ raw files - make sure that the ARQ extension is enabled in Preferences > File Browser > Parsed Extensions. +- Create Sony ARQ raw files using https://github.com/agriggio/make_arq +- Added support for saving 32-bit floating-point TIFFs clamped and clipped to [0-1]. +- Added profiled chromatic aberration correction support using Lensfun. +- More tools now have an on/off switch. +- The user interface is cleaner, with all power-house tools moved into a new "Advanced" tab to prevent slider-shock to newcomers. +- The Metadata tab now lets you choose whether you want to copy metadata unchanged, edit metadata or strip metadata when saving images. Now you can also make metadata changes in batch mode. +- The choice of whether the main histogram should display information using the working profile or the output profile is now available from the Editor tab's top toolbar. +- The Crop tool's aspect ratio now defaults to that of the image, and RawTherapee automatically zooms-to-fit the crop once it's placed. +- RGB input-type ICC profiles can now be used as output profiles. +- The saved reference image for profiling (created from within the Color Management tool) now contains metadata. +- PNG and compressed TIFF images make use of better compression. +- Shortcut key changes: Zoom-to-fit the crop using "f", fit the whole image using "Alt+f". + +There were several hundred commits optimizing processing speed and memory usage as well as bug fixes and code refactoring, though the details of these are too arcane to list here. The effort involved thousands of developer-hours. News Relevant to Package Maintainers ------------------------------------ In general: -- Requires GTK+ version >=3.16, though 3.22 is recommended. +- Requires GTK+ version >=3.16, though >=3.22.24 is recommended. - RawTherapee 5 requires GCC-4.9 or higher, or Clang. - Do not use -ffast-math, it will not make RawTherapee faster but will introduce artifacts. - Use -O3, it will make RawTherapee faster with no known side-effects. - For stable releases use -DCACHE_NAME_SUFFIX="" - For development builds and release-candidates use -DCACHE_NAME_SUFFIX="5-dev" -Changes since 5.2: -- To be filled in when 5.4 is released. - News Relevant to Developers --------------------------- -- Announce and discuss your plans in GitHub before starting work. -- Keep branches small so that completed and working features can be merged into the "dev" branch often, and so that they can be abandoned if they head in the wrong direction. -- Use C++11. +See CONTRIBUTING.md DOCUMENTATION ------------- @@ -67,7 +84,7 @@ More information here: http://rawpedia.rawtherapee.com/IRC SOCIAL NETWORKS --------------- Google+ -http://plus.google.com/106783532637761598368 +https://plus.google.com/+RawTherapee REVISION HISTORY ---------------- From a09557b782381ed6ba48d372325a44815c7e5443 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Mon, 5 Feb 2018 23:40:15 +0100 Subject: [PATCH 03/27] Small release notes update Replaced "clamped and clipped" with just "clamped" - IRC. --- RELEASE_NOTES.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index 396763ab9..30a90a2bf 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -28,7 +28,7 @@ New features since 5.3: - Added support for reading and writing metadata and ICC profiles to and from PNG images. - Added support for processing Sony Pixel Shift ARQ raw files - make sure that the ARQ extension is enabled in Preferences > File Browser > Parsed Extensions. - Create Sony ARQ raw files using https://github.com/agriggio/make_arq -- Added support for saving 32-bit floating-point TIFFs clamped and clipped to [0-1]. +- Added support for saving 32-bit floating-point TIFFs clamped to [0-1]. - Added profiled chromatic aberration correction support using Lensfun. - More tools now have an on/off switch. - The user interface is cleaner, with all power-house tools moved into a new "Advanced" tab to prevent slider-shock to newcomers. From 569c818711278ea3e3e7fd00a603a0eda4d70a11 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Tue, 6 Feb 2018 00:00:59 +0100 Subject: [PATCH 04/27] Another small release notes update Used [0;1] notation instead of [0-1], to help me sleep. --- RELEASE_NOTES.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index 30a90a2bf..45b29a7d1 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -28,7 +28,7 @@ New features since 5.3: - Added support for reading and writing metadata and ICC profiles to and from PNG images. - Added support for processing Sony Pixel Shift ARQ raw files - make sure that the ARQ extension is enabled in Preferences > File Browser > Parsed Extensions. - Create Sony ARQ raw files using https://github.com/agriggio/make_arq -- Added support for saving 32-bit floating-point TIFFs clamped to [0-1]. +- Added support for saving 32-bit floating-point TIFFs clamped to [0;1]. - Added profiled chromatic aberration correction support using Lensfun. - More tools now have an on/off switch. - The user interface is cleaner, with all power-house tools moved into a new "Advanced" tab to prevent slider-shock to newcomers. From 522afc7ea0ec3c79ca5616a98d62f82901e2a7c0 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Tue, 6 Feb 2018 19:06:17 +0100 Subject: [PATCH 05/27] Added RPU request to release notes, closes #4296 --- RELEASE_NOTES.txt | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index 45b29a7d1..73693e2dc 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -42,6 +42,10 @@ New features since 5.3: There were several hundred commits optimizing processing speed and memory usage as well as bug fixes and code refactoring, though the details of these are too arcane to list here. The effort involved thousands of developer-hours. +RawTherapee and other open-source projects require access to sample raw files from various camera makes and models in order to support those raw formats correctly. +You can help by submitting raw files to RPU: +https://raw.pixls.us/ + News Relevant to Package Maintainers ------------------------------------ In general: From 1366d2428af6676471cb525005777bf7653415af Mon Sep 17 00:00:00 2001 From: heckflosse Date: Sat, 17 Feb 2018 22:25:57 +0100 Subject: [PATCH 06/27] Wavelet Level Functions not working at all in dev, fixes #4405 --- rtengine/ipwavelet.cc | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/rtengine/ipwavelet.cc b/rtengine/ipwavelet.cc index edbc94822..4767a7fba 100644 --- a/rtengine/ipwavelet.cc +++ b/rtengine/ipwavelet.cc @@ -1739,11 +1739,6 @@ void ImProcFunctions::WaveletcontAllL(LabImage * labco, float ** varhue, float * } - if(max0 <= 0.0) { - // completely black image => nothing to do - return; - } - // printf("MAXmax0=%f MINmin0=%f\n",max0,min0); //tone mapping @@ -1791,7 +1786,7 @@ void ImProcFunctions::WaveletcontAllL(LabImage * labco, float ** varhue, float * #pragma omp parallel num_threads(wavNestedLevels) if(wavNestedLevels>1) #endif { - if(contrast != 0.f && cp.resena) { // contrast = 0.f means that all will be multiplied by 1.f, so we can skip this step + if(contrast != 0.f && cp.resena && max0 > 0.0) { // contrast = 0.f means that all will be multiplied by 1.f, so we can skip this step { #ifdef _OPENMP #pragma omp for From 042c49d34af5f1db77f37193c6fa42b82bde9d95 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Mon, 26 Feb 2018 20:45:00 +0100 Subject: [PATCH 07/27] Updated release notes for 5.4-rc2 --- RELEASE_NOTES.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index 73693e2dc..1d031a8af 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -1,6 +1,6 @@ -RAWTHERAPEE 5.4-RC1 RELEASE NOTES +RAWTHERAPEE 5.4-RC2 RELEASE NOTES --------------------------------- -This is RawTherapee 5.4 Release Candidate 1, released on 2018-02-05. +This is RawTherapee 5.4 Release Candidate 2, released on 2018-02-26. Start by reading the "Getting Started" article on RawPedia: http://rawpedia.rawtherapee.com/ From dc57a43cddee3bbb9edf04600b1eb4538f30dcca Mon Sep 17 00:00:00 2001 From: heckflosse Date: Tue, 27 Feb 2018 18:50:05 +0100 Subject: [PATCH 08/27] Speedup for rcd demosaic --- rtengine/amaze_demosaic_RT.cc | 1 + rtengine/demosaic_algos.cc | 392 +++++++++++++++------------------- 2 files changed, 170 insertions(+), 223 deletions(-) diff --git a/rtengine/amaze_demosaic_RT.cc b/rtengine/amaze_demosaic_RT.cc index 4fe0bee69..b7789090f 100644 --- a/rtengine/amaze_demosaic_RT.cc +++ b/rtengine/amaze_demosaic_RT.cc @@ -33,6 +33,7 @@ #include "sleef.c" #include "opthelper.h" #include "median.h" +#define BENCHMARK #include "StopWatch.h" namespace rtengine diff --git a/rtengine/demosaic_algos.cc b/rtengine/demosaic_algos.cc index 368a8edde..8d0a39401 100644 --- a/rtengine/demosaic_algos.cc +++ b/rtengine/demosaic_algos.cc @@ -37,6 +37,7 @@ #include "sleef.c" #include "opthelper.h" #include "median.h" +#define BENCHMARK #include "StopWatch.h" #ifdef _OPENMP #include @@ -3936,280 +3937,225 @@ void RawImageSource::cielab (const float (*rgb)[3], float* l, float* a, float *b * Original code from https://github.com/LuisSR/RCD-Demosaicing * Licensed under the GNU GPL version 3 */ +// Tiled version by Ingo Weyrich (heckflosse67@gmx.de) void RawImageSource::rcd_demosaic() { - // RT --------------------------------------------------------------------- + BENCHFUN + if (plistener) { plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), "rcd")); plistener->setProgress(0); } - int width = W, height = H; - - std::vector cfa(width * height); - std::vector> rgb(width * height); - -#ifdef _OPENMP - #pragma omp parallel for -#endif - for (int row = 0; row < height; row++) { - for (int col = 0, indx = row * width + col; col < width; col++, indx++) { - int c = FC(row, col); - cfa[indx] = rgb[indx][c] = LIM01(rawData[row][col] / 65535.f); - } - } - - if (plistener) { - plistener->setProgress(0.05); - } - // ------------------------------------------------------------------------ -/* RT - int row, col, indx, c; -*/ - int w1 = width, w2 = 2 * width, w3 = 3 * width, w4 = 4 * width; - + const int width = W, height = H; + constexpr int tileBorder = 8; + constexpr int tileSize = 228; + constexpr int tileSizeN = tileSize - 2 * tileBorder; + const int numTh = H / (tileSizeN) + ((H % (tileSizeN)) ? 1 : 0); + const int numTw = W / (tileSizeN) + ((W % (tileSizeN)) ? 1 : 0); + constexpr int w1 = tileSize, w2 = 2 * tileSize, w3 = 3 * tileSize, w4 = 4 * tileSize; //Tolerance to avoid dividing by zero - static const float eps = 1e-5, epssq = 1e-10; - -/* RT - //Gradients - float N_Grad, E_Grad, W_Grad, S_Grad, NW_Grad, NE_Grad, SW_Grad, SE_Grad; - - //Pixel estimation - float N_Est, E_Est, W_Est, S_Est, NW_Est, NE_Est, SW_Est, SE_Est, V_Est, H_Est, P_Est, Q_Est; - - //Directional discrimination - //float V_Stat, H_Stat, P_Stat, Q_Stat; - float VH_Central_Value, VH_Neighbour_Value, PQ_Central_Value, PQ_Neighbour_Value; -*/ - float *VH_Dir, *PQ_Dir; - - //Low pass filter - float *lpf; - - - /** - * STEP 1: Find cardinal and diagonal interpolation directions - */ - - VH_Dir = ( float ( * ) ) calloc( width * height, sizeof *VH_Dir ); //merror ( VH_Dir, "rcd_demosaicing_171117()" ); + static constexpr float eps = 1e-5f; + static constexpr float epssq = 1e-10f; #ifdef _OPENMP - #pragma omp parallel for +#pragma omp parallel #endif - for (int row = 4; row < height - 4; row++ ) { - for (int col = 4, indx = row * width + col; col < width - 4; col++, indx++ ) { - //Calculate h/v local discrimination - float V_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - w1] - 18.0f * cfa[indx] * cfa[indx + w1] - 36.0f * cfa[indx] * cfa[indx - w2] - 36.0f * cfa[indx] * cfa[indx + w2] + 18.0f * cfa[indx] * cfa[indx - w3] + 18.0f * cfa[indx] * cfa[indx + w3] - 2.0f * cfa[indx] * cfa[indx - w4] - 2.0f * cfa[indx] * cfa[indx + w4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1] * cfa[indx + w1] - 12.0f * cfa[indx - w1] * cfa[indx - w2] + 24.0f * cfa[indx - w1] * cfa[indx + w2] - 38.0f * cfa[indx - w1] * cfa[indx - w3] + 16.0f * cfa[indx - w1] * cfa[indx + w3] + 12.0f * cfa[indx - w1] * cfa[indx - w4] - 6.0f * cfa[indx - w1] * cfa[indx + w4] + 46.0f * cfa[indx - w1] * cfa[indx - w1] + 24.0f * cfa[indx + w1] * cfa[indx - w2] - 12.0f * cfa[indx + w1] * cfa[indx + w2] + 16.0f * cfa[indx + w1] * cfa[indx - w3] - 38.0f * cfa[indx + w1] * cfa[indx + w3] - 6.0f * cfa[indx + w1] * cfa[indx - w4] + 12.0f * cfa[indx + w1] * cfa[indx + w4] + 46.0f * cfa[indx + w1] * cfa[indx + w1] + 14.0f * cfa[indx - w2] * cfa[indx + w2] - 12.0f * cfa[indx - w2] * cfa[indx + w3] - 2.0f * cfa[indx - w2] * cfa[indx - w4] + 2.0f * cfa[indx - w2] * cfa[indx + w4] + 11.0f * cfa[indx - w2] * cfa[indx - w2] - 12.0f * cfa[indx + w2] * cfa[indx - w3] + 2.0f * cfa[indx + w2] * cfa[indx - w4] - 2.0f * cfa[indx + w2] * cfa[indx + w4] + 11.0f * cfa[indx + w2] * cfa[indx + w2] + 2.0f * cfa[indx - w3] * cfa[indx + w3] - 6.0f * cfa[indx - w3] * cfa[indx - w4] + 10.0f * cfa[indx - w3] * cfa[indx - w3] - 6.0f * cfa[indx + w3] * cfa[indx + w4] + 10.0f * cfa[indx + w3] * cfa[indx + w3] + 1.0f * cfa[indx - w4] * cfa[indx - w4] + 1.0f * cfa[indx + w4] * cfa[indx + w4]); - - float H_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - 1] - 18.0f * cfa[indx] * cfa[indx + 1] - 36.0f * cfa[indx] * cfa[indx - 2] - 36.0f * cfa[indx] * cfa[indx + 2] + 18.0f * cfa[indx] * cfa[indx - 3] + 18.0f * cfa[indx] * cfa[indx + 3] - 2.0f * cfa[indx] * cfa[indx - 4] - 2.0f * cfa[indx] * cfa[indx + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - 1] * cfa[indx + 1] - 12.0f * cfa[indx - 1] * cfa[indx - 2] + 24.0f * cfa[indx - 1] * cfa[indx + 2] - 38.0f * cfa[indx - 1] * cfa[indx - 3] + 16.0f * cfa[indx - 1] * cfa[indx + 3] + 12.0f * cfa[indx - 1] * cfa[indx - 4] - 6.0f * cfa[indx - 1] * cfa[indx + 4] + 46.0f * cfa[indx - 1] * cfa[indx - 1] + 24.0f * cfa[indx + 1] * cfa[indx - 2] - 12.0f * cfa[indx + 1] * cfa[indx + 2] + 16.0f * cfa[indx + 1] * cfa[indx - 3] - 38.0f * cfa[indx + 1] * cfa[indx + 3] - 6.0f * cfa[indx + 1] * cfa[indx - 4] + 12.0f * cfa[indx + 1] * cfa[indx + 4] + 46.0f * cfa[indx + 1] * cfa[indx + 1] + 14.0f * cfa[indx - 2] * cfa[indx + 2] - 12.0f * cfa[indx - 2] * cfa[indx + 3] - 2.0f * cfa[indx - 2] * cfa[indx - 4] + 2.0f * cfa[indx - 2] * cfa[indx + 4] + 11.0f * cfa[indx - 2] * cfa[indx - 2] - 12.0f * cfa[indx + 2] * cfa[indx - 3] + 2.0f * cfa[indx + 2] * cfa[indx - 4] - 2.0f * cfa[indx + 2] * cfa[indx + 4] + 11.0f * cfa[indx + 2] * cfa[indx + 2] + 2.0f * cfa[indx - 3] * cfa[indx + 3] - 6.0f * cfa[indx - 3] * cfa[indx - 4] + 10.0f * cfa[indx - 3] * cfa[indx - 3] - 6.0f * cfa[indx + 3] * cfa[indx + 4] + 10.0f * cfa[indx + 3] * cfa[indx + 3] + 1.0f * cfa[indx - 4] * cfa[indx - 4] + 1.0f * cfa[indx + 4] * cfa[indx + 4]); - - VH_Dir[indx] = V_Stat / (V_Stat + H_Stat); - } - } - - // RT --------------------------------------------------------------------- - if (plistener) { - plistener->setProgress(0.2); - } - // ------------------------------------------------------------------------- - - /** - * STEP 2: Calculate the low pass filter - */ - - // Step 2.1: Low pass filter incorporating green, red and blue local samples from the raw data - lpf = ( float ( * ) ) calloc( width * height, sizeof *lpf ); //merror ( lpf, "rcd_demosaicing_171125()" ); +{ + float *cfa = (float*) calloc( tileSize * tileSize, sizeof *cfa ); + float (*rgb)[tileSize * tileSize] = (float (*)[tileSize * tileSize])malloc(3 * sizeof *rgb); + float *VH_Dir = (float*) calloc( tileSize * tileSize, sizeof *VH_Dir ); + float *PQ_Dir = (float*) calloc( tileSize * tileSize, sizeof *PQ_Dir ); + float *lpf = PQ_Dir; // reuse buffer, they don't overlap in usage #ifdef _OPENMP - #pragma omp parallel for -#endif - for ( int row = 2; row < height - 2; row++ ) { - for ( int col = 2 + (FC( row, 0 ) & 1), indx = row * width + col; col < width - 2; col += 2, indx += 2 ) { - - lpf[indx] = 0.25f * cfa[indx] + 0.125f * ( cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1] ) + 0.0625f * ( cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1] ); - - } - } - - // RT --------------------------------------------------------------------- - if (plistener) { - plistener->setProgress(0.4); - } - // ------------------------------------------------------------------------ - - /** - * STEP 3: Populate the green channel - */ - - // Step 3.1: Populate the green channel at blue and red CFA positions -#ifdef _OPENMP - #pragma omp parallel for + #pragma omp for schedule(dynamic) collapse(2) nowait #endif - for ( int row = 4; row < height - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * width + col; col < width - 4; col += 2, indx += 2 ) { + for(int tr = 0; tr < numTh; ++tr) { + for(int tc = 0; tc < numTw; ++tc) { + int rowStart = tr * tileSizeN; + int rowEnd = std::min(tr * tileSizeN + tileSize, H); + int colStart = tc * tileSizeN; + int colEnd = std::min(tc * tileSizeN + tileSize, W); - // Refined vertical and horizontal local discrimination - float VH_Central_Value = VH_Dir[indx]; - float VH_Neighbourhood_Value = 0.25f * ( VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1] + VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1] ); + for (int row = rowStart; row < rowEnd; row++) { + int indx = (row - rowStart) * tileSize; + int c0 = FC(row, colStart); + int c1 = FC(row, colStart + 1); + int col = colStart; - float VH_Disc = ( fabs( 0.5f - VH_Central_Value ) < fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value; + for (; col < colEnd - 1; col+=2, indx+=2) { + cfa[indx] = rgb[c0][indx] = LIM01(rawData[row][col] / 65535.f); + cfa[indx + 1] = rgb[c1][indx + 1] = LIM01(rawData[row][col + 1] / 65535.f); + } + if(col < colEnd) { + cfa[indx] = rgb[c0][indx] = LIM01(rawData[row][col] / 65535.f); + } + } - // Cardinal gradients - float N_Grad = eps + fabs( cfa[indx - w1] - cfa[indx + w1] ) + fabs( cfa[indx] - cfa[indx - w2] ) + fabs( cfa[indx - w1] - cfa[indx - w3] ) + fabs( cfa[indx - w2] - cfa[indx - w4] ); - float S_Grad = eps + fabs( cfa[indx + w1] - cfa[indx - w1] ) + fabs( cfa[indx] - cfa[indx + w2] ) + fabs( cfa[indx + w1] - cfa[indx + w3] ) + fabs( cfa[indx + w2] - cfa[indx + w4] ); - float W_Grad = eps + fabs( cfa[indx - 1] - cfa[indx + 1] ) + fabs( cfa[indx] - cfa[indx - 2] ) + fabs( cfa[indx - 1] - cfa[indx - 3] ) + fabs( cfa[indx - 2] - cfa[indx - 4] ); - float E_Grad = eps + fabs( cfa[indx + 1] - cfa[indx - 1] ) + fabs( cfa[indx] - cfa[indx + 2] ) + fabs( cfa[indx + 1] - cfa[indx + 3] ) + fabs( cfa[indx + 2] - cfa[indx + 4] ); + /** + * STEP 1: Find cardinal and diagonal interpolation directions + */ - // Cardinal pixel estimations - float N_Est = cfa[indx - w1] * ( 1.f + ( lpf[indx] - lpf[indx - w2] ) / ( eps + lpf[indx] + lpf[indx - w2] ) ); - float S_Est = cfa[indx + w1] * ( 1.f + ( lpf[indx] - lpf[indx + w2] ) / ( eps + lpf[indx] + lpf[indx + w2] ) ); - float W_Est = cfa[indx - 1] * ( 1.f + ( lpf[indx] - lpf[indx - 2] ) / ( eps + lpf[indx] + lpf[indx - 2] ) ); - float E_Est = cfa[indx + 1] * ( 1.f + ( lpf[indx] - lpf[indx + 2] ) / ( eps + lpf[indx] + lpf[indx + 2] ) ); + for (int row = 4; row < tileSize - 4; row++ ) { + for (int col = 4, indx = row * tileSize + col; col < tileSize - 4; col++, indx++ ) { + //Calculate h/v local discrimination + float V_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - w1] - 18.0f * cfa[indx] * cfa[indx + w1] - 36.0f * cfa[indx] * cfa[indx - w2] - 36.0f * cfa[indx] * cfa[indx + w2] + 18.0f * cfa[indx] * cfa[indx - w3] + 18.0f * cfa[indx] * cfa[indx + w3] - 2.0f * cfa[indx] * cfa[indx - w4] - 2.0f * cfa[indx] * cfa[indx + w4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1] * cfa[indx + w1] - 12.0f * cfa[indx - w1] * cfa[indx - w2] + 24.0f * cfa[indx - w1] * cfa[indx + w2] - 38.0f * cfa[indx - w1] * cfa[indx - w3] + 16.0f * cfa[indx - w1] * cfa[indx + w3] + 12.0f * cfa[indx - w1] * cfa[indx - w4] - 6.0f * cfa[indx - w1] * cfa[indx + w4] + 46.0f * cfa[indx - w1] * cfa[indx - w1] + 24.0f * cfa[indx + w1] * cfa[indx - w2] - 12.0f * cfa[indx + w1] * cfa[indx + w2] + 16.0f * cfa[indx + w1] * cfa[indx - w3] - 38.0f * cfa[indx + w1] * cfa[indx + w3] - 6.0f * cfa[indx + w1] * cfa[indx - w4] + 12.0f * cfa[indx + w1] * cfa[indx + w4] + 46.0f * cfa[indx + w1] * cfa[indx + w1] + 14.0f * cfa[indx - w2] * cfa[indx + w2] - 12.0f * cfa[indx - w2] * cfa[indx + w3] - 2.0f * cfa[indx - w2] * cfa[indx - w4] + 2.0f * cfa[indx - w2] * cfa[indx + w4] + 11.0f * cfa[indx - w2] * cfa[indx - w2] - 12.0f * cfa[indx + w2] * cfa[indx - w3] + 2.0f * cfa[indx + w2] * cfa[indx - w4] - 2.0f * cfa[indx + w2] * cfa[indx + w4] + 11.0f * cfa[indx + w2] * cfa[indx + w2] + 2.0f * cfa[indx - w3] * cfa[indx + w3] - 6.0f * cfa[indx - w3] * cfa[indx - w4] + 10.0f * cfa[indx - w3] * cfa[indx - w3] - 6.0f * cfa[indx + w3] * cfa[indx + w4] + 10.0f * cfa[indx + w3] * cfa[indx + w3] + 1.0f * cfa[indx - w4] * cfa[indx - w4] + 1.0f * cfa[indx + w4] * cfa[indx + w4]); - // Vertical and horizontal estimations - float V_Est = ( S_Grad * N_Est + N_Grad * S_Est ) / max(eps, N_Grad + S_Grad ); - float H_Est = ( W_Grad * E_Est + E_Grad * W_Est ) / max(eps, E_Grad + W_Grad ); + float H_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - 1] - 18.0f * cfa[indx] * cfa[indx + 1] - 36.0f * cfa[indx] * cfa[indx - 2] - 36.0f * cfa[indx] * cfa[indx + 2] + 18.0f * cfa[indx] * cfa[indx - 3] + 18.0f * cfa[indx] * cfa[indx + 3] - 2.0f * cfa[indx] * cfa[indx - 4] - 2.0f * cfa[indx] * cfa[indx + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - 1] * cfa[indx + 1] - 12.0f * cfa[indx - 1] * cfa[indx - 2] + 24.0f * cfa[indx - 1] * cfa[indx + 2] - 38.0f * cfa[indx - 1] * cfa[indx - 3] + 16.0f * cfa[indx - 1] * cfa[indx + 3] + 12.0f * cfa[indx - 1] * cfa[indx - 4] - 6.0f * cfa[indx - 1] * cfa[indx + 4] + 46.0f * cfa[indx - 1] * cfa[indx - 1] + 24.0f * cfa[indx + 1] * cfa[indx - 2] - 12.0f * cfa[indx + 1] * cfa[indx + 2] + 16.0f * cfa[indx + 1] * cfa[indx - 3] - 38.0f * cfa[indx + 1] * cfa[indx + 3] - 6.0f * cfa[indx + 1] * cfa[indx - 4] + 12.0f * cfa[indx + 1] * cfa[indx + 4] + 46.0f * cfa[indx + 1] * cfa[indx + 1] + 14.0f * cfa[indx - 2] * cfa[indx + 2] - 12.0f * cfa[indx - 2] * cfa[indx + 3] - 2.0f * cfa[indx - 2] * cfa[indx - 4] + 2.0f * cfa[indx - 2] * cfa[indx + 4] + 11.0f * cfa[indx - 2] * cfa[indx - 2] - 12.0f * cfa[indx + 2] * cfa[indx - 3] + 2.0f * cfa[indx + 2] * cfa[indx - 4] - 2.0f * cfa[indx + 2] * cfa[indx + 4] + 11.0f * cfa[indx + 2] * cfa[indx + 2] + 2.0f * cfa[indx - 3] * cfa[indx + 3] - 6.0f * cfa[indx - 3] * cfa[indx - 4] + 10.0f * cfa[indx - 3] * cfa[indx - 3] - 6.0f * cfa[indx + 3] * cfa[indx + 4] + 10.0f * cfa[indx + 3] * cfa[indx + 3] + 1.0f * cfa[indx - 4] * cfa[indx - 4] + 1.0f * cfa[indx + 4] * cfa[indx + 4]); - // G@B and G@R interpolation - rgb[indx][1] = LIM( VH_Disc * H_Est + ( 1.f - VH_Disc ) * V_Est, 0.f, 1.f ); + VH_Dir[indx] = V_Stat / (V_Stat + H_Stat); + } + } - } - } + /** + * STEP 2: Calculate the low pass filter + */ + // Step 2.1: Low pass filter incorporating green, red and blue local samples from the raw data - free( lpf ); + for ( int row = 2; row < tileSize - 2; row++ ) { + for ( int col = 2 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 2; col += 2, indx += 2 ) { + lpf[indx>>1] = 0.25f * cfa[indx] + 0.125f * ( cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1] ) + 0.0625f * ( cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1] ); + } + } - // RT --------------------------------------------------------------------- - if (plistener) { - plistener->setProgress(0.5); - } - // ------------------------------------------------------------------------ - - /** - * STEP 4: Populate the red and blue channels - */ + /** + * STEP 3: Populate the green channel + */ + // Step 3.1: Populate the green channel at blue and red CFA positions + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { - // Step 4.1: Calculate P/Q diagonal local discrimination - PQ_Dir = ( float ( * ) ) calloc( width * height, sizeof *PQ_Dir ); //merror ( PQ_Dir, "rcd_demosaicing_171125()" ); + // Refined vertical and horizontal local discrimination + float VH_Central_Value = VH_Dir[indx]; + float VH_Neighbourhood_Value = 0.25f * ((VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1])); -#ifdef _OPENMP - #pragma omp parallel for -#endif - for ( int row = 4; row < height - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * width + col; col < width - 4; col += 2, indx += 2 ) { + float VH_Disc = std::fabs(0.5f - VH_Central_Value) < std::fabs(0.5f - VH_Neighbourhood_Value) ? VH_Neighbourhood_Value : VH_Central_Value; - float P_Stat = max( - 18.f * cfa[indx] * cfa[indx - w1 - 1] - 18.f * cfa[indx] * cfa[indx + w1 + 1] - 36.f * cfa[indx] * cfa[indx - w2 - 2] - 36.f * cfa[indx] * cfa[indx + w2 + 2] + 18.f * cfa[indx] * cfa[indx - w3 - 3] + 18.f * cfa[indx] * cfa[indx + w3 + 3] - 2.f * cfa[indx] * cfa[indx - w4 - 4] - 2.f * cfa[indx] * cfa[indx + w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4], epssq ); - float Q_Stat = max( - 18.f * cfa[indx] * cfa[indx + w1 - 1] - 18.f * cfa[indx] * cfa[indx - w1 + 1] - 36.f * cfa[indx] * cfa[indx + w2 - 2] - 36.f * cfa[indx] * cfa[indx - w2 + 2] + 18.f * cfa[indx] * cfa[indx + w3 - 3] + 18.f * cfa[indx] * cfa[indx - w3 + 3] - 2.f * cfa[indx] * cfa[indx + w4 - 4] - 2.f * cfa[indx] * cfa[indx - w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4], epssq ); + // Cardinal gradients + float N_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx - w2] ) + std::fabs( cfa[indx - w1] - cfa[indx - w3] ) + std::fabs( cfa[indx - w2] - cfa[indx - w4] ); + float S_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx + w2] ) + std::fabs( cfa[indx + w1] - cfa[indx + w3] ) + std::fabs( cfa[indx + w2] - cfa[indx + w4] ); + float W_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx - 2] ) + std::fabs( cfa[indx - 1] - cfa[indx - 3] ) + std::fabs( cfa[indx - 2] - cfa[indx - 4] ); + float E_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx + 2] ) + std::fabs( cfa[indx + 1] - cfa[indx + 3] ) + std::fabs( cfa[indx + 2] - cfa[indx + 4] ); - PQ_Dir[indx] = P_Stat / ( P_Stat + Q_Stat ); + // Cardinal pixel estimations + float N_Est = cfa[indx - w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - w2)>>1] ) ); + float S_Est = cfa[indx + w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + w2)>>1] ) ); + float W_Est = cfa[indx - 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - 2)>>1] ) ); + float E_Est = cfa[indx + 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + 2)>>1] ) ); - } - } + // Vertical and horizontal estimations + float V_Est = ( S_Grad * N_Est + N_Grad * S_Est ) / (N_Grad + S_Grad ); + float H_Est = ( W_Grad * E_Est + E_Grad * W_Est ) / (E_Grad + W_Grad ); - // RT --------------------------------------------------------------------- - if (plistener) { - plistener->setProgress(0.7); - } - // ------------------------------------------------------------------------- + // G@B and G@R interpolation + rgb[1][indx] = VH_Disc * H_Est + ( 1.f - VH_Disc ) * V_Est; - // Step 4.2: Populate the red and blue channels at blue and red CFA positions -#ifdef _OPENMP - #pragma omp parallel for -#endif - for ( int row = 4; row < height - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * width + col, c = 2 - FC( row, col ); col < width - 4; col += 2, indx += 2 ) { + } + } + /** + * STEP 4: Populate the red and blue channels + */ - // Refined P/Q diagonal local discrimination - float PQ_Central_Value = PQ_Dir[indx]; - float PQ_Neighbourhood_Value = 0.25f * ( PQ_Dir[indx - w1 - 1] + PQ_Dir[indx - w1 + 1] + PQ_Dir[indx + w1 - 1] + PQ_Dir[indx + w1 + 1] ); + // Step 4.1: Calculate P/Q diagonal local discrimination + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { - float PQ_Disc = ( fabs( 0.5f - PQ_Central_Value ) < fabs( 0.5f - PQ_Neighbourhood_Value ) ) ? PQ_Neighbourhood_Value : PQ_Central_Value; + float P_Stat = max( - 18.f * cfa[indx] * cfa[indx - w1 - 1] - 18.f * cfa[indx] * cfa[indx + w1 + 1] - 36.f * cfa[indx] * cfa[indx - w2 - 2] - 36.f * cfa[indx] * cfa[indx + w2 + 2] + 18.f * cfa[indx] * cfa[indx - w3 - 3] + 18.f * cfa[indx] * cfa[indx + w3 + 3] - 2.f * cfa[indx] * cfa[indx - w4 - 4] - 2.f * cfa[indx] * cfa[indx + w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4], epssq ); + float Q_Stat = max( - 18.f * cfa[indx] * cfa[indx + w1 - 1] - 18.f * cfa[indx] * cfa[indx - w1 + 1] - 36.f * cfa[indx] * cfa[indx + w2 - 2] - 36.f * cfa[indx] * cfa[indx - w2 + 2] + 18.f * cfa[indx] * cfa[indx + w3 - 3] + 18.f * cfa[indx] * cfa[indx - w3 + 3] - 2.f * cfa[indx] * cfa[indx + w4 - 4] - 2.f * cfa[indx] * cfa[indx - w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4], epssq ); - // Diagonal gradients - float NW_Grad = eps + fabs( rgb[indx - w1 - 1][c] - rgb[indx + w1 + 1][c] ) + fabs( rgb[indx - w1 - 1][c] - rgb[indx - w3 - 3][c] ) + fabs( rgb[indx][1] - rgb[indx - w2 - 2][1] ); - float NE_Grad = eps + fabs( rgb[indx - w1 + 1][c] - rgb[indx + w1 - 1][c] ) + fabs( rgb[indx - w1 + 1][c] - rgb[indx - w3 + 3][c] ) + fabs( rgb[indx][1] - rgb[indx - w2 + 2][1] ); - float SW_Grad = eps + fabs( rgb[indx + w1 - 1][c] - rgb[indx - w1 + 1][c] ) + fabs( rgb[indx + w1 - 1][c] - rgb[indx + w3 - 3][c] ) + fabs( rgb[indx][1] - rgb[indx + w2 - 2][1] ); - float SE_Grad = eps + fabs( rgb[indx + w1 + 1][c] - rgb[indx - w1 - 1][c] ) + fabs( rgb[indx + w1 + 1][c] - rgb[indx + w3 + 3][c] ) + fabs( rgb[indx][1] - rgb[indx + w2 + 2][1] ); + PQ_Dir[indx] = P_Stat / ( P_Stat + Q_Stat ); - // Diagonal colour differences - float NW_Est = rgb[indx - w1 - 1][c] - rgb[indx - w1 - 1][1]; - float NE_Est = rgb[indx - w1 + 1][c] - rgb[indx - w1 + 1][1]; - float SW_Est = rgb[indx + w1 - 1][c] - rgb[indx + w1 - 1][1]; - float SE_Est = rgb[indx + w1 + 1][c] - rgb[indx + w1 + 1][1]; + } + } - // P/Q estimations - float P_Est = ( NW_Grad * SE_Est + SE_Grad * NW_Est ) / max(eps, NW_Grad + SE_Grad ); - float Q_Est = ( NE_Grad * SW_Est + SW_Grad * NE_Est ) / max(eps, NE_Grad + SW_Grad ); + // Step 4.2: Populate the red and blue channels at blue and red CFA positions + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col, c = 2 - FC( row, col ); col < tileSize - 4; col += 2, indx += 2 ) { - // R@B and B@R interpolation - rgb[indx][c] = LIM( rgb[indx][1] + ( 1.f - PQ_Disc ) * P_Est + PQ_Disc * Q_Est, 0.f, 1.f ); + // Refined P/Q diagonal local discrimination + float PQ_Central_Value = PQ_Dir[indx]; + float PQ_Neighbourhood_Value = 0.25f * ( PQ_Dir[indx - w1 - 1] + PQ_Dir[indx - w1 + 1] + PQ_Dir[indx + w1 - 1] + PQ_Dir[indx + w1 + 1] ); - } - } + float PQ_Disc = ( std::fabs( 0.5f - PQ_Central_Value ) < std::fabs( 0.5f - PQ_Neighbourhood_Value ) ) ? PQ_Neighbourhood_Value : PQ_Central_Value; - free( PQ_Dir ); + // Diagonal gradients + float NW_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx - w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 - 2] ); + float NE_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx - w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 + 2] ); + float SW_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx + w1 - 1] - rgb[c][indx + w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 - 2] ); + float SE_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx + w1 + 1] - rgb[c][indx + w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 + 2] ); - // RT --------------------------------------------------------------------- - if (plistener) { - plistener->setProgress(0.825); - } - // ------------------------------------------------------------------------- - - // Step 4.3: Populate the red and blue channels at green CFA positions -#ifdef _OPENMP - #pragma omp parallel for -#endif - for ( int row = 4; row < height - 4; row++ ) { - for ( int col = 4 + (FC( row, 1 ) & 1), indx = row * width + col; col < width - 4; col += 2, indx += 2 ) { + // Diagonal colour differences + float NW_Est = rgb[c][indx - w1 - 1] - rgb[1][indx - w1 - 1]; + float NE_Est = rgb[c][indx - w1 + 1] - rgb[1][indx - w1 + 1]; + float SW_Est = rgb[c][indx + w1 - 1] - rgb[1][indx + w1 - 1]; + float SE_Est = rgb[c][indx + w1 + 1] - rgb[1][indx + w1 + 1]; - // Refined vertical and horizontal local discrimination - float VH_Central_Value = VH_Dir[indx]; - float VH_Neighbourhood_Value = 0.25f * ( VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1] + VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1] ); - - float VH_Disc = ( fabs( 0.5f - VH_Central_Value ) < fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value; + // P/Q estimations + float P_Est = ( NW_Grad * SE_Est + SE_Grad * NW_Est ) / (NW_Grad + SE_Grad ); + float Q_Est = ( NE_Grad * SW_Est + SW_Grad * NE_Est ) / (NE_Grad + SW_Grad ); - for ( int c = 0; c <= 2; c += 2 ) { + // R@B and B@R interpolation + rgb[c][indx] = rgb[1][indx] + ( 1.f - PQ_Disc ) * P_Est + PQ_Disc * Q_Est; - // Cardinal gradients - float N_Grad = eps + fabs( rgb[indx][1] - rgb[indx - w2][1] ) + fabs( rgb[indx - w1][c] - rgb[indx + w1][c] ) + fabs( rgb[indx - w1][c] - rgb[indx - w3][c] ); - float S_Grad = eps + fabs( rgb[indx][1] - rgb[indx + w2][1] ) + fabs( rgb[indx + w1][c] - rgb[indx - w1][c] ) + fabs( rgb[indx + w1][c] - rgb[indx + w3][c] ); - float W_Grad = eps + fabs( rgb[indx][1] - rgb[indx - 2][1] ) + fabs( rgb[indx - 1][c] - rgb[indx + 1][c] ) + fabs( rgb[indx - 1][c] - rgb[indx - 3][c] ); - float E_Grad = eps + fabs( rgb[indx][1] - rgb[indx + 2][1] ) + fabs( rgb[indx + 1][c] - rgb[indx - 1][c] ) + fabs( rgb[indx + 1][c] - rgb[indx + 3][c] ); + } + } - // Cardinal colour differences - float N_Est = rgb[indx - w1][c] - rgb[indx - w1][1]; - float S_Est = rgb[indx + w1][c] - rgb[indx + w1][1]; - float W_Est = rgb[indx - 1][c] - rgb[indx - 1][1]; - float E_Est = rgb[indx + 1][c] - rgb[indx + 1][1]; + // Step 4.3: Populate the red and blue channels at green CFA positions + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 1 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { - // Vertical and horizontal estimations - float V_Est = ( N_Grad * S_Est + S_Grad * N_Est ) / max(eps, N_Grad + S_Grad ); - float H_Est = ( E_Grad * W_Est + W_Grad * E_Est ) / max(eps, E_Grad + W_Grad ); + // Refined vertical and horizontal local discrimination + float VH_Central_Value = VH_Dir[indx]; + float VH_Neighbourhood_Value = 0.25f * ( (VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1]) ); - // R@G and B@G interpolation - rgb[indx][c] = LIM( rgb[indx][1] + ( 1.f - VH_Disc ) * V_Est + VH_Disc * H_Est, 0.f, 1.f ); + float VH_Disc = ( std::fabs( 0.5f - VH_Central_Value ) < std::fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value; + float N1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - w2] ); + float S1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + w2] ); + float W1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - 2] ); + float E1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + 2] ); + for ( int c = 0; c <= 2; c += 2 ) { + + // Cardinal gradients + float N_Grad = N1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx - w1] - rgb[c][indx - w3] ); + float S_Grad = S1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx + w1] - rgb[c][indx + w3] ); + float W_Grad = W1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx - 1] - rgb[c][indx - 3] ); + float E_Grad = E1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx + 1] - rgb[c][indx + 3] ); + + // Cardinal colour differences + float N_Est = rgb[c][indx - w1] - rgb[1][indx - w1]; + float S_Est = rgb[c][indx + w1] - rgb[1][indx + w1]; + float W_Est = rgb[c][indx - 1] - rgb[1][indx - 1]; + float E_Est = rgb[c][indx + 1] - rgb[1][indx + 1]; + + // Vertical and horizontal estimations + float V_Est = ( N_Grad * S_Est + S_Grad * N_Est ) / (N_Grad + S_Grad ); + float H_Est = ( E_Grad * W_Est + W_Grad * E_Est ) / (E_Grad + W_Grad ); + + // R@G and B@G interpolation + rgb[c][indx] = rgb[1][indx] + ( 1.f - VH_Disc ) * V_Est + VH_Disc * H_Est; + + } + } + } + + for (int row = rowStart + tileBorder; row < rowEnd - tileBorder; ++row) { + for (int col = colStart + tileBorder; col < colEnd - tileBorder; ++col) { + int idx = (row - rowStart) * tileSize + col - colStart ; + red[row][col] = CLIP(rgb[0][idx] * 65535.f); + green[row][col] = CLIP(rgb[1][idx] * 65535.f); + blue[row][col] = CLIP(rgb[2][idx] * 65535.f); + } } } } + free(cfa); + free(rgb); free(VH_Dir); - - // RT --------------------------------------------------------------------- - if (plistener) { - plistener->setProgress(0.95); - } - -#ifdef _OPENMP - #pragma omp parallel for -#endif - for (int row = 0; row < height; ++row) { - for (int col = 0, idx = row * width + col ; col < width; ++col, ++idx) { - red[row][col] = CLIP(rgb[idx][0] * 65535.f); - green[row][col] = CLIP(rgb[idx][1] * 65535.f); - blue[row][col] = CLIP(rgb[idx][2] * 65535.f); - } - } + free(PQ_Dir); +} border_interpolate2(width, height, 8); From bad28bb0add0f6c04bdea910c23be6f076e903d2 Mon Sep 17 00:00:00 2001 From: heckflosse Date: Tue, 27 Feb 2018 19:31:05 +0100 Subject: [PATCH 09/27] Made own compilation unit for rcd_demosaic() --- rtengine/CMakeLists.txt | 1 + rtengine/demosaic_algos.cc | 239 -------------------------------- rtengine/rcd_demosaic.cc | 270 +++++++++++++++++++++++++++++++++++++ 3 files changed, 271 insertions(+), 239 deletions(-) create mode 100644 rtengine/rcd_demosaic.cc diff --git a/rtengine/CMakeLists.txt b/rtengine/CMakeLists.txt index 080a76410..230c0957a 100644 --- a/rtengine/CMakeLists.txt +++ b/rtengine/CMakeLists.txt @@ -105,6 +105,7 @@ set(RTENGINESOURCEFILES profilestore.cc rawimage.cc rawimagesource.cc + rcd_demosaic.cc refreshmap.cc rt_algo.cc rtthumbnail.cc diff --git a/rtengine/demosaic_algos.cc b/rtengine/demosaic_algos.cc index 8d0a39401..99d59e9d1 100644 --- a/rtengine/demosaic_algos.cc +++ b/rtengine/demosaic_algos.cc @@ -37,7 +37,6 @@ #include "sleef.c" #include "opthelper.h" #include "median.h" -#define BENCHMARK #include "StopWatch.h" #ifdef _OPENMP #include @@ -3927,244 +3926,6 @@ void RawImageSource::cielab (const float (*rgb)[3], float* l, float* a, float *b } } - -/** -* RATIO CORRECTED DEMOSAICING -* Luis Sanz Rodriguez (luis.sanz.rodriguez(at)gmail(dot)com) -* -* Release 2.3 @ 171125 -* -* Original code from https://github.com/LuisSR/RCD-Demosaicing -* Licensed under the GNU GPL version 3 -*/ -// Tiled version by Ingo Weyrich (heckflosse67@gmx.de) -void RawImageSource::rcd_demosaic() -{ - BENCHFUN - - if (plistener) { - plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), "rcd")); - plistener->setProgress(0); - } - - const int width = W, height = H; - constexpr int tileBorder = 8; - constexpr int tileSize = 228; - constexpr int tileSizeN = tileSize - 2 * tileBorder; - const int numTh = H / (tileSizeN) + ((H % (tileSizeN)) ? 1 : 0); - const int numTw = W / (tileSizeN) + ((W % (tileSizeN)) ? 1 : 0); - constexpr int w1 = tileSize, w2 = 2 * tileSize, w3 = 3 * tileSize, w4 = 4 * tileSize; - //Tolerance to avoid dividing by zero - static constexpr float eps = 1e-5f; - static constexpr float epssq = 1e-10f; - -#ifdef _OPENMP -#pragma omp parallel -#endif -{ - float *cfa = (float*) calloc( tileSize * tileSize, sizeof *cfa ); - float (*rgb)[tileSize * tileSize] = (float (*)[tileSize * tileSize])malloc(3 * sizeof *rgb); - float *VH_Dir = (float*) calloc( tileSize * tileSize, sizeof *VH_Dir ); - float *PQ_Dir = (float*) calloc( tileSize * tileSize, sizeof *PQ_Dir ); - float *lpf = PQ_Dir; // reuse buffer, they don't overlap in usage - -#ifdef _OPENMP - #pragma omp for schedule(dynamic) collapse(2) nowait -#endif - for(int tr = 0; tr < numTh; ++tr) { - for(int tc = 0; tc < numTw; ++tc) { - int rowStart = tr * tileSizeN; - int rowEnd = std::min(tr * tileSizeN + tileSize, H); - int colStart = tc * tileSizeN; - int colEnd = std::min(tc * tileSizeN + tileSize, W); - - for (int row = rowStart; row < rowEnd; row++) { - int indx = (row - rowStart) * tileSize; - int c0 = FC(row, colStart); - int c1 = FC(row, colStart + 1); - int col = colStart; - - for (; col < colEnd - 1; col+=2, indx+=2) { - cfa[indx] = rgb[c0][indx] = LIM01(rawData[row][col] / 65535.f); - cfa[indx + 1] = rgb[c1][indx + 1] = LIM01(rawData[row][col + 1] / 65535.f); - } - if(col < colEnd) { - cfa[indx] = rgb[c0][indx] = LIM01(rawData[row][col] / 65535.f); - } - } - - /** - * STEP 1: Find cardinal and diagonal interpolation directions - */ - - for (int row = 4; row < tileSize - 4; row++ ) { - for (int col = 4, indx = row * tileSize + col; col < tileSize - 4; col++, indx++ ) { - //Calculate h/v local discrimination - float V_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - w1] - 18.0f * cfa[indx] * cfa[indx + w1] - 36.0f * cfa[indx] * cfa[indx - w2] - 36.0f * cfa[indx] * cfa[indx + w2] + 18.0f * cfa[indx] * cfa[indx - w3] + 18.0f * cfa[indx] * cfa[indx + w3] - 2.0f * cfa[indx] * cfa[indx - w4] - 2.0f * cfa[indx] * cfa[indx + w4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1] * cfa[indx + w1] - 12.0f * cfa[indx - w1] * cfa[indx - w2] + 24.0f * cfa[indx - w1] * cfa[indx + w2] - 38.0f * cfa[indx - w1] * cfa[indx - w3] + 16.0f * cfa[indx - w1] * cfa[indx + w3] + 12.0f * cfa[indx - w1] * cfa[indx - w4] - 6.0f * cfa[indx - w1] * cfa[indx + w4] + 46.0f * cfa[indx - w1] * cfa[indx - w1] + 24.0f * cfa[indx + w1] * cfa[indx - w2] - 12.0f * cfa[indx + w1] * cfa[indx + w2] + 16.0f * cfa[indx + w1] * cfa[indx - w3] - 38.0f * cfa[indx + w1] * cfa[indx + w3] - 6.0f * cfa[indx + w1] * cfa[indx - w4] + 12.0f * cfa[indx + w1] * cfa[indx + w4] + 46.0f * cfa[indx + w1] * cfa[indx + w1] + 14.0f * cfa[indx - w2] * cfa[indx + w2] - 12.0f * cfa[indx - w2] * cfa[indx + w3] - 2.0f * cfa[indx - w2] * cfa[indx - w4] + 2.0f * cfa[indx - w2] * cfa[indx + w4] + 11.0f * cfa[indx - w2] * cfa[indx - w2] - 12.0f * cfa[indx + w2] * cfa[indx - w3] + 2.0f * cfa[indx + w2] * cfa[indx - w4] - 2.0f * cfa[indx + w2] * cfa[indx + w4] + 11.0f * cfa[indx + w2] * cfa[indx + w2] + 2.0f * cfa[indx - w3] * cfa[indx + w3] - 6.0f * cfa[indx - w3] * cfa[indx - w4] + 10.0f * cfa[indx - w3] * cfa[indx - w3] - 6.0f * cfa[indx + w3] * cfa[indx + w4] + 10.0f * cfa[indx + w3] * cfa[indx + w3] + 1.0f * cfa[indx - w4] * cfa[indx - w4] + 1.0f * cfa[indx + w4] * cfa[indx + w4]); - - float H_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - 1] - 18.0f * cfa[indx] * cfa[indx + 1] - 36.0f * cfa[indx] * cfa[indx - 2] - 36.0f * cfa[indx] * cfa[indx + 2] + 18.0f * cfa[indx] * cfa[indx - 3] + 18.0f * cfa[indx] * cfa[indx + 3] - 2.0f * cfa[indx] * cfa[indx - 4] - 2.0f * cfa[indx] * cfa[indx + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - 1] * cfa[indx + 1] - 12.0f * cfa[indx - 1] * cfa[indx - 2] + 24.0f * cfa[indx - 1] * cfa[indx + 2] - 38.0f * cfa[indx - 1] * cfa[indx - 3] + 16.0f * cfa[indx - 1] * cfa[indx + 3] + 12.0f * cfa[indx - 1] * cfa[indx - 4] - 6.0f * cfa[indx - 1] * cfa[indx + 4] + 46.0f * cfa[indx - 1] * cfa[indx - 1] + 24.0f * cfa[indx + 1] * cfa[indx - 2] - 12.0f * cfa[indx + 1] * cfa[indx + 2] + 16.0f * cfa[indx + 1] * cfa[indx - 3] - 38.0f * cfa[indx + 1] * cfa[indx + 3] - 6.0f * cfa[indx + 1] * cfa[indx - 4] + 12.0f * cfa[indx + 1] * cfa[indx + 4] + 46.0f * cfa[indx + 1] * cfa[indx + 1] + 14.0f * cfa[indx - 2] * cfa[indx + 2] - 12.0f * cfa[indx - 2] * cfa[indx + 3] - 2.0f * cfa[indx - 2] * cfa[indx - 4] + 2.0f * cfa[indx - 2] * cfa[indx + 4] + 11.0f * cfa[indx - 2] * cfa[indx - 2] - 12.0f * cfa[indx + 2] * cfa[indx - 3] + 2.0f * cfa[indx + 2] * cfa[indx - 4] - 2.0f * cfa[indx + 2] * cfa[indx + 4] + 11.0f * cfa[indx + 2] * cfa[indx + 2] + 2.0f * cfa[indx - 3] * cfa[indx + 3] - 6.0f * cfa[indx - 3] * cfa[indx - 4] + 10.0f * cfa[indx - 3] * cfa[indx - 3] - 6.0f * cfa[indx + 3] * cfa[indx + 4] + 10.0f * cfa[indx + 3] * cfa[indx + 3] + 1.0f * cfa[indx - 4] * cfa[indx - 4] + 1.0f * cfa[indx + 4] * cfa[indx + 4]); - - VH_Dir[indx] = V_Stat / (V_Stat + H_Stat); - } - } - - /** - * STEP 2: Calculate the low pass filter - */ - // Step 2.1: Low pass filter incorporating green, red and blue local samples from the raw data - - for ( int row = 2; row < tileSize - 2; row++ ) { - for ( int col = 2 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 2; col += 2, indx += 2 ) { - lpf[indx>>1] = 0.25f * cfa[indx] + 0.125f * ( cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1] ) + 0.0625f * ( cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1] ); - } - } - - /** - * STEP 3: Populate the green channel - */ - // Step 3.1: Populate the green channel at blue and red CFA positions - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { - - // Refined vertical and horizontal local discrimination - float VH_Central_Value = VH_Dir[indx]; - float VH_Neighbourhood_Value = 0.25f * ((VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1])); - - float VH_Disc = std::fabs(0.5f - VH_Central_Value) < std::fabs(0.5f - VH_Neighbourhood_Value) ? VH_Neighbourhood_Value : VH_Central_Value; - - // Cardinal gradients - float N_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx - w2] ) + std::fabs( cfa[indx - w1] - cfa[indx - w3] ) + std::fabs( cfa[indx - w2] - cfa[indx - w4] ); - float S_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx + w2] ) + std::fabs( cfa[indx + w1] - cfa[indx + w3] ) + std::fabs( cfa[indx + w2] - cfa[indx + w4] ); - float W_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx - 2] ) + std::fabs( cfa[indx - 1] - cfa[indx - 3] ) + std::fabs( cfa[indx - 2] - cfa[indx - 4] ); - float E_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx + 2] ) + std::fabs( cfa[indx + 1] - cfa[indx + 3] ) + std::fabs( cfa[indx + 2] - cfa[indx + 4] ); - - // Cardinal pixel estimations - float N_Est = cfa[indx - w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - w2)>>1] ) ); - float S_Est = cfa[indx + w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + w2)>>1] ) ); - float W_Est = cfa[indx - 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - 2)>>1] ) ); - float E_Est = cfa[indx + 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + 2)>>1] ) ); - - // Vertical and horizontal estimations - float V_Est = ( S_Grad * N_Est + N_Grad * S_Est ) / (N_Grad + S_Grad ); - float H_Est = ( W_Grad * E_Est + E_Grad * W_Est ) / (E_Grad + W_Grad ); - - // G@B and G@R interpolation - rgb[1][indx] = VH_Disc * H_Est + ( 1.f - VH_Disc ) * V_Est; - - } - } - /** - * STEP 4: Populate the red and blue channels - */ - - // Step 4.1: Calculate P/Q diagonal local discrimination - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { - - float P_Stat = max( - 18.f * cfa[indx] * cfa[indx - w1 - 1] - 18.f * cfa[indx] * cfa[indx + w1 + 1] - 36.f * cfa[indx] * cfa[indx - w2 - 2] - 36.f * cfa[indx] * cfa[indx + w2 + 2] + 18.f * cfa[indx] * cfa[indx - w3 - 3] + 18.f * cfa[indx] * cfa[indx + w3 + 3] - 2.f * cfa[indx] * cfa[indx - w4 - 4] - 2.f * cfa[indx] * cfa[indx + w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4], epssq ); - float Q_Stat = max( - 18.f * cfa[indx] * cfa[indx + w1 - 1] - 18.f * cfa[indx] * cfa[indx - w1 + 1] - 36.f * cfa[indx] * cfa[indx + w2 - 2] - 36.f * cfa[indx] * cfa[indx - w2 + 2] + 18.f * cfa[indx] * cfa[indx + w3 - 3] + 18.f * cfa[indx] * cfa[indx - w3 + 3] - 2.f * cfa[indx] * cfa[indx + w4 - 4] - 2.f * cfa[indx] * cfa[indx - w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4], epssq ); - - PQ_Dir[indx] = P_Stat / ( P_Stat + Q_Stat ); - - } - } - - // Step 4.2: Populate the red and blue channels at blue and red CFA positions - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col, c = 2 - FC( row, col ); col < tileSize - 4; col += 2, indx += 2 ) { - - // Refined P/Q diagonal local discrimination - float PQ_Central_Value = PQ_Dir[indx]; - float PQ_Neighbourhood_Value = 0.25f * ( PQ_Dir[indx - w1 - 1] + PQ_Dir[indx - w1 + 1] + PQ_Dir[indx + w1 - 1] + PQ_Dir[indx + w1 + 1] ); - - float PQ_Disc = ( std::fabs( 0.5f - PQ_Central_Value ) < std::fabs( 0.5f - PQ_Neighbourhood_Value ) ) ? PQ_Neighbourhood_Value : PQ_Central_Value; - - // Diagonal gradients - float NW_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx - w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 - 2] ); - float NE_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx - w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 + 2] ); - float SW_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx + w1 - 1] - rgb[c][indx + w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 - 2] ); - float SE_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx + w1 + 1] - rgb[c][indx + w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 + 2] ); - - // Diagonal colour differences - float NW_Est = rgb[c][indx - w1 - 1] - rgb[1][indx - w1 - 1]; - float NE_Est = rgb[c][indx - w1 + 1] - rgb[1][indx - w1 + 1]; - float SW_Est = rgb[c][indx + w1 - 1] - rgb[1][indx + w1 - 1]; - float SE_Est = rgb[c][indx + w1 + 1] - rgb[1][indx + w1 + 1]; - - // P/Q estimations - float P_Est = ( NW_Grad * SE_Est + SE_Grad * NW_Est ) / (NW_Grad + SE_Grad ); - float Q_Est = ( NE_Grad * SW_Est + SW_Grad * NE_Est ) / (NE_Grad + SW_Grad ); - - // R@B and B@R interpolation - rgb[c][indx] = rgb[1][indx] + ( 1.f - PQ_Disc ) * P_Est + PQ_Disc * Q_Est; - - } - } - - // Step 4.3: Populate the red and blue channels at green CFA positions - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 1 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { - - // Refined vertical and horizontal local discrimination - float VH_Central_Value = VH_Dir[indx]; - float VH_Neighbourhood_Value = 0.25f * ( (VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1]) ); - - float VH_Disc = ( std::fabs( 0.5f - VH_Central_Value ) < std::fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value; - float N1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - w2] ); - float S1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + w2] ); - float W1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - 2] ); - float E1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + 2] ); - for ( int c = 0; c <= 2; c += 2 ) { - - - // Cardinal gradients - float N_Grad = N1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx - w1] - rgb[c][indx - w3] ); - float S_Grad = S1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx + w1] - rgb[c][indx + w3] ); - float W_Grad = W1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx - 1] - rgb[c][indx - 3] ); - float E_Grad = E1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx + 1] - rgb[c][indx + 3] ); - - // Cardinal colour differences - float N_Est = rgb[c][indx - w1] - rgb[1][indx - w1]; - float S_Est = rgb[c][indx + w1] - rgb[1][indx + w1]; - float W_Est = rgb[c][indx - 1] - rgb[1][indx - 1]; - float E_Est = rgb[c][indx + 1] - rgb[1][indx + 1]; - - // Vertical and horizontal estimations - float V_Est = ( N_Grad * S_Est + S_Grad * N_Est ) / (N_Grad + S_Grad ); - float H_Est = ( E_Grad * W_Est + W_Grad * E_Est ) / (E_Grad + W_Grad ); - - // R@G and B@G interpolation - rgb[c][indx] = rgb[1][indx] + ( 1.f - VH_Disc ) * V_Est + VH_Disc * H_Est; - - } - } - } - - for (int row = rowStart + tileBorder; row < rowEnd - tileBorder; ++row) { - for (int col = colStart + tileBorder; col < colEnd - tileBorder; ++col) { - int idx = (row - rowStart) * tileSize + col - colStart ; - red[row][col] = CLIP(rgb[0][idx] * 65535.f); - green[row][col] = CLIP(rgb[1][idx] * 65535.f); - blue[row][col] = CLIP(rgb[2][idx] * 65535.f); - } - } - } - } - - free(cfa); - free(rgb); - free(VH_Dir); - free(PQ_Dir); -} - - border_interpolate2(width, height, 8); - - if (plistener) { - plistener->setProgress(1); - } - // ------------------------------------------------------------------------- -} - #define fcol(row,col) xtrans[(row)%6][(col)%6] #define isgreen(row,col) (xtrans[(row)%3][(col)%3]&1) diff --git a/rtengine/rcd_demosaic.cc b/rtengine/rcd_demosaic.cc new file mode 100644 index 000000000..decbe498b --- /dev/null +++ b/rtengine/rcd_demosaic.cc @@ -0,0 +1,270 @@ +/* + * This file is part of RawTherapee. + * + * Copyright (c) 2017-2018 Luis Sanz Rodriguez (luis.sanz.rodriguez(at)gmail(dot)com) and Ingo Weyrich (heckflosse67@gmx.de) + * + * RawTherapee is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * RawTherapee is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with RawTherapee. If not, see . + */ +#include + +#include "rawimagesource.h" +#include "rt_math.h" +#include "../rtgui/multilangmgr.h" +#include "opthelper.h" +#define BENCHMARK +#include "StopWatch.h" + +using namespace std; + +namespace rtengine +{ + +/** +* RATIO CORRECTED DEMOSAICING +* Luis Sanz Rodriguez (luis.sanz.rodriguez(at)gmail(dot)com) +* +* Release 2.3 @ 171125 +* +* Original code from https://github.com/LuisSR/RCD-Demosaicing +* Licensed under the GNU GPL version 3 +*/ +// Tiled version by Ingo Weyrich (heckflosse67@gmx.de) +void RawImageSource::rcd_demosaic() +{ + BENCHFUN + + if (plistener) { + plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), "rcd")); + plistener->setProgress(0); + } + + const int width = W, height = H; + constexpr int tileBorder = 8; + constexpr int tileSize = 228; + constexpr int tileSizeN = tileSize - 2 * tileBorder; + const int numTh = H / (tileSizeN) + ((H % (tileSizeN)) ? 1 : 0); + const int numTw = W / (tileSizeN) + ((W % (tileSizeN)) ? 1 : 0); + constexpr int w1 = tileSize, w2 = 2 * tileSize, w3 = 3 * tileSize, w4 = 4 * tileSize; + //Tolerance to avoid dividing by zero + static constexpr float eps = 1e-5f; + static constexpr float epssq = 1e-10f; + +#ifdef _OPENMP +#pragma omp parallel +#endif +{ + float *cfa = (float*) calloc( tileSize * tileSize, sizeof *cfa ); + float (*rgb)[tileSize * tileSize] = (float (*)[tileSize * tileSize])malloc(3 * sizeof *rgb); + float *VH_Dir = (float*) calloc( tileSize * tileSize, sizeof *VH_Dir ); + float *PQ_Dir = (float*) calloc( tileSize * tileSize, sizeof *PQ_Dir ); + float *lpf = PQ_Dir; // reuse buffer, they don't overlap in usage + +#ifdef _OPENMP + #pragma omp for schedule(dynamic) collapse(2) nowait +#endif + for(int tr = 0; tr < numTh; ++tr) { + for(int tc = 0; tc < numTw; ++tc) { + int rowStart = tr * tileSizeN; + int rowEnd = std::min(tr * tileSizeN + tileSize, H); + int colStart = tc * tileSizeN; + int colEnd = std::min(tc * tileSizeN + tileSize, W); + + for (int row = rowStart; row < rowEnd; row++) { + int indx = (row - rowStart) * tileSize; + int c0 = FC(row, colStart); + int c1 = FC(row, colStart + 1); + int col = colStart; + + for (; col < colEnd - 1; col+=2, indx+=2) { + cfa[indx] = rgb[c0][indx] = LIM01(rawData[row][col] / 65535.f); + cfa[indx + 1] = rgb[c1][indx + 1] = LIM01(rawData[row][col + 1] / 65535.f); + } + if(col < colEnd) { + cfa[indx] = rgb[c0][indx] = LIM01(rawData[row][col] / 65535.f); + } + } + + /** + * STEP 1: Find cardinal and diagonal interpolation directions + */ + + for (int row = 4; row < tileSize - 4; row++ ) { + for (int col = 4, indx = row * tileSize + col; col < tileSize - 4; col++, indx++ ) { + //Calculate h/v local discrimination + float V_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - w1] - 18.0f * cfa[indx] * cfa[indx + w1] - 36.0f * cfa[indx] * cfa[indx - w2] - 36.0f * cfa[indx] * cfa[indx + w2] + 18.0f * cfa[indx] * cfa[indx - w3] + 18.0f * cfa[indx] * cfa[indx + w3] - 2.0f * cfa[indx] * cfa[indx - w4] - 2.0f * cfa[indx] * cfa[indx + w4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1] * cfa[indx + w1] - 12.0f * cfa[indx - w1] * cfa[indx - w2] + 24.0f * cfa[indx - w1] * cfa[indx + w2] - 38.0f * cfa[indx - w1] * cfa[indx - w3] + 16.0f * cfa[indx - w1] * cfa[indx + w3] + 12.0f * cfa[indx - w1] * cfa[indx - w4] - 6.0f * cfa[indx - w1] * cfa[indx + w4] + 46.0f * cfa[indx - w1] * cfa[indx - w1] + 24.0f * cfa[indx + w1] * cfa[indx - w2] - 12.0f * cfa[indx + w1] * cfa[indx + w2] + 16.0f * cfa[indx + w1] * cfa[indx - w3] - 38.0f * cfa[indx + w1] * cfa[indx + w3] - 6.0f * cfa[indx + w1] * cfa[indx - w4] + 12.0f * cfa[indx + w1] * cfa[indx + w4] + 46.0f * cfa[indx + w1] * cfa[indx + w1] + 14.0f * cfa[indx - w2] * cfa[indx + w2] - 12.0f * cfa[indx - w2] * cfa[indx + w3] - 2.0f * cfa[indx - w2] * cfa[indx - w4] + 2.0f * cfa[indx - w2] * cfa[indx + w4] + 11.0f * cfa[indx - w2] * cfa[indx - w2] - 12.0f * cfa[indx + w2] * cfa[indx - w3] + 2.0f * cfa[indx + w2] * cfa[indx - w4] - 2.0f * cfa[indx + w2] * cfa[indx + w4] + 11.0f * cfa[indx + w2] * cfa[indx + w2] + 2.0f * cfa[indx - w3] * cfa[indx + w3] - 6.0f * cfa[indx - w3] * cfa[indx - w4] + 10.0f * cfa[indx - w3] * cfa[indx - w3] - 6.0f * cfa[indx + w3] * cfa[indx + w4] + 10.0f * cfa[indx + w3] * cfa[indx + w3] + 1.0f * cfa[indx - w4] * cfa[indx - w4] + 1.0f * cfa[indx + w4] * cfa[indx + w4]); + + float H_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - 1] - 18.0f * cfa[indx] * cfa[indx + 1] - 36.0f * cfa[indx] * cfa[indx - 2] - 36.0f * cfa[indx] * cfa[indx + 2] + 18.0f * cfa[indx] * cfa[indx - 3] + 18.0f * cfa[indx] * cfa[indx + 3] - 2.0f * cfa[indx] * cfa[indx - 4] - 2.0f * cfa[indx] * cfa[indx + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - 1] * cfa[indx + 1] - 12.0f * cfa[indx - 1] * cfa[indx - 2] + 24.0f * cfa[indx - 1] * cfa[indx + 2] - 38.0f * cfa[indx - 1] * cfa[indx - 3] + 16.0f * cfa[indx - 1] * cfa[indx + 3] + 12.0f * cfa[indx - 1] * cfa[indx - 4] - 6.0f * cfa[indx - 1] * cfa[indx + 4] + 46.0f * cfa[indx - 1] * cfa[indx - 1] + 24.0f * cfa[indx + 1] * cfa[indx - 2] - 12.0f * cfa[indx + 1] * cfa[indx + 2] + 16.0f * cfa[indx + 1] * cfa[indx - 3] - 38.0f * cfa[indx + 1] * cfa[indx + 3] - 6.0f * cfa[indx + 1] * cfa[indx - 4] + 12.0f * cfa[indx + 1] * cfa[indx + 4] + 46.0f * cfa[indx + 1] * cfa[indx + 1] + 14.0f * cfa[indx - 2] * cfa[indx + 2] - 12.0f * cfa[indx - 2] * cfa[indx + 3] - 2.0f * cfa[indx - 2] * cfa[indx - 4] + 2.0f * cfa[indx - 2] * cfa[indx + 4] + 11.0f * cfa[indx - 2] * cfa[indx - 2] - 12.0f * cfa[indx + 2] * cfa[indx - 3] + 2.0f * cfa[indx + 2] * cfa[indx - 4] - 2.0f * cfa[indx + 2] * cfa[indx + 4] + 11.0f * cfa[indx + 2] * cfa[indx + 2] + 2.0f * cfa[indx - 3] * cfa[indx + 3] - 6.0f * cfa[indx - 3] * cfa[indx - 4] + 10.0f * cfa[indx - 3] * cfa[indx - 3] - 6.0f * cfa[indx + 3] * cfa[indx + 4] + 10.0f * cfa[indx + 3] * cfa[indx + 3] + 1.0f * cfa[indx - 4] * cfa[indx - 4] + 1.0f * cfa[indx + 4] * cfa[indx + 4]); + + VH_Dir[indx] = V_Stat / (V_Stat + H_Stat); + } + } + + /** + * STEP 2: Calculate the low pass filter + */ + // Step 2.1: Low pass filter incorporating green, red and blue local samples from the raw data + + for ( int row = 2; row < tileSize - 2; row++ ) { + for ( int col = 2 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 2; col += 2, indx += 2 ) { + lpf[indx>>1] = 0.25f * cfa[indx] + 0.125f * ( cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1] ) + 0.0625f * ( cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1] ); + } + } + + /** + * STEP 3: Populate the green channel + */ + // Step 3.1: Populate the green channel at blue and red CFA positions + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { + + // Refined vertical and horizontal local discrimination + float VH_Central_Value = VH_Dir[indx]; + float VH_Neighbourhood_Value = 0.25f * ((VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1])); + + float VH_Disc = std::fabs(0.5f - VH_Central_Value) < std::fabs(0.5f - VH_Neighbourhood_Value) ? VH_Neighbourhood_Value : VH_Central_Value; + + // Cardinal gradients + float N_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx - w2] ) + std::fabs( cfa[indx - w1] - cfa[indx - w3] ) + std::fabs( cfa[indx - w2] - cfa[indx - w4] ); + float S_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx + w2] ) + std::fabs( cfa[indx + w1] - cfa[indx + w3] ) + std::fabs( cfa[indx + w2] - cfa[indx + w4] ); + float W_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx - 2] ) + std::fabs( cfa[indx - 1] - cfa[indx - 3] ) + std::fabs( cfa[indx - 2] - cfa[indx - 4] ); + float E_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx + 2] ) + std::fabs( cfa[indx + 1] - cfa[indx + 3] ) + std::fabs( cfa[indx + 2] - cfa[indx + 4] ); + + // Cardinal pixel estimations + float N_Est = cfa[indx - w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - w2)>>1] ) ); + float S_Est = cfa[indx + w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + w2)>>1] ) ); + float W_Est = cfa[indx - 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - 2)>>1] ) ); + float E_Est = cfa[indx + 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + 2)>>1] ) ); + + // Vertical and horizontal estimations + float V_Est = ( S_Grad * N_Est + N_Grad * S_Est ) / (N_Grad + S_Grad ); + float H_Est = ( W_Grad * E_Est + E_Grad * W_Est ) / (E_Grad + W_Grad ); + + // G@B and G@R interpolation + rgb[1][indx] = VH_Disc * H_Est + ( 1.f - VH_Disc ) * V_Est; + + } + } + /** + * STEP 4: Populate the red and blue channels + */ + + // Step 4.1: Calculate P/Q diagonal local discrimination + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { + + float P_Stat = max( - 18.f * cfa[indx] * cfa[indx - w1 - 1] - 18.f * cfa[indx] * cfa[indx + w1 + 1] - 36.f * cfa[indx] * cfa[indx - w2 - 2] - 36.f * cfa[indx] * cfa[indx + w2 + 2] + 18.f * cfa[indx] * cfa[indx - w3 - 3] + 18.f * cfa[indx] * cfa[indx + w3 + 3] - 2.f * cfa[indx] * cfa[indx - w4 - 4] - 2.f * cfa[indx] * cfa[indx + w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4], epssq ); + float Q_Stat = max( - 18.f * cfa[indx] * cfa[indx + w1 - 1] - 18.f * cfa[indx] * cfa[indx - w1 + 1] - 36.f * cfa[indx] * cfa[indx + w2 - 2] - 36.f * cfa[indx] * cfa[indx - w2 + 2] + 18.f * cfa[indx] * cfa[indx + w3 - 3] + 18.f * cfa[indx] * cfa[indx - w3 + 3] - 2.f * cfa[indx] * cfa[indx + w4 - 4] - 2.f * cfa[indx] * cfa[indx - w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4], epssq ); + + PQ_Dir[indx] = P_Stat / ( P_Stat + Q_Stat ); + + } + } + + // Step 4.2: Populate the red and blue channels at blue and red CFA positions + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col, c = 2 - FC( row, col ); col < tileSize - 4; col += 2, indx += 2 ) { + + // Refined P/Q diagonal local discrimination + float PQ_Central_Value = PQ_Dir[indx]; + float PQ_Neighbourhood_Value = 0.25f * ( PQ_Dir[indx - w1 - 1] + PQ_Dir[indx - w1 + 1] + PQ_Dir[indx + w1 - 1] + PQ_Dir[indx + w1 + 1] ); + + float PQ_Disc = ( std::fabs( 0.5f - PQ_Central_Value ) < std::fabs( 0.5f - PQ_Neighbourhood_Value ) ) ? PQ_Neighbourhood_Value : PQ_Central_Value; + + // Diagonal gradients + float NW_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx - w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 - 2] ); + float NE_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx - w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 + 2] ); + float SW_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx + w1 - 1] - rgb[c][indx + w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 - 2] ); + float SE_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx + w1 + 1] - rgb[c][indx + w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 + 2] ); + + // Diagonal colour differences + float NW_Est = rgb[c][indx - w1 - 1] - rgb[1][indx - w1 - 1]; + float NE_Est = rgb[c][indx - w1 + 1] - rgb[1][indx - w1 + 1]; + float SW_Est = rgb[c][indx + w1 - 1] - rgb[1][indx + w1 - 1]; + float SE_Est = rgb[c][indx + w1 + 1] - rgb[1][indx + w1 + 1]; + + // P/Q estimations + float P_Est = ( NW_Grad * SE_Est + SE_Grad * NW_Est ) / (NW_Grad + SE_Grad ); + float Q_Est = ( NE_Grad * SW_Est + SW_Grad * NE_Est ) / (NE_Grad + SW_Grad ); + + // R@B and B@R interpolation + rgb[c][indx] = rgb[1][indx] + ( 1.f - PQ_Disc ) * P_Est + PQ_Disc * Q_Est; + + } + } + + // Step 4.3: Populate the red and blue channels at green CFA positions + for ( int row = 4; row < tileSize - 4; row++ ) { + for ( int col = 4 + (FC( row, 1 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { + + // Refined vertical and horizontal local discrimination + float VH_Central_Value = VH_Dir[indx]; + float VH_Neighbourhood_Value = 0.25f * ( (VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1]) ); + + float VH_Disc = ( std::fabs( 0.5f - VH_Central_Value ) < std::fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value; + float N1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - w2] ); + float S1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + w2] ); + float W1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - 2] ); + float E1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + 2] ); + for ( int c = 0; c <= 2; c += 2 ) { + + + // Cardinal gradients + float N_Grad = N1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx - w1] - rgb[c][indx - w3] ); + float S_Grad = S1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx + w1] - rgb[c][indx + w3] ); + float W_Grad = W1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx - 1] - rgb[c][indx - 3] ); + float E_Grad = E1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx + 1] - rgb[c][indx + 3] ); + + // Cardinal colour differences + float N_Est = rgb[c][indx - w1] - rgb[1][indx - w1]; + float S_Est = rgb[c][indx + w1] - rgb[1][indx + w1]; + float W_Est = rgb[c][indx - 1] - rgb[1][indx - 1]; + float E_Est = rgb[c][indx + 1] - rgb[1][indx + 1]; + + // Vertical and horizontal estimations + float V_Est = ( N_Grad * S_Est + S_Grad * N_Est ) / (N_Grad + S_Grad ); + float H_Est = ( E_Grad * W_Est + W_Grad * E_Est ) / (E_Grad + W_Grad ); + + // R@G and B@G interpolation + rgb[c][indx] = rgb[1][indx] + ( 1.f - VH_Disc ) * V_Est + VH_Disc * H_Est; + + } + } + } + + for (int row = rowStart + tileBorder; row < rowEnd - tileBorder; ++row) { + for (int col = colStart + tileBorder; col < colEnd - tileBorder; ++col) { + int idx = (row - rowStart) * tileSize + col - colStart ; + red[row][col] = CLIP(rgb[0][idx] * 65535.f); + green[row][col] = CLIP(rgb[1][idx] * 65535.f); + blue[row][col] = CLIP(rgb[2][idx] * 65535.f); + } + } + } + } + + free(cfa); + free(rgb); + free(VH_Dir); + free(PQ_Dir); +} + + border_interpolate2(width, height, 8); + + if (plistener) { + plistener->setProgress(1); + } + // ------------------------------------------------------------------------- +} + +} /* namespace */ From 2fb4403823fda875a491f14169ceabc9b90aa69d Mon Sep 17 00:00:00 2001 From: heckflosse Date: Wed, 28 Feb 2018 14:53:02 +0100 Subject: [PATCH 10/27] rcd_demosaic: further speedup --- rtengine/rcd_demosaic.cc | 114 +++++++++++++++++++-------------------- 1 file changed, 57 insertions(+), 57 deletions(-) diff --git a/rtengine/rcd_demosaic.cc b/rtengine/rcd_demosaic.cc index decbe498b..127140dda 100644 --- a/rtengine/rcd_demosaic.cc +++ b/rtengine/rcd_demosaic.cc @@ -51,7 +51,7 @@ void RawImageSource::rcd_demosaic() const int width = W, height = H; constexpr int tileBorder = 8; - constexpr int tileSize = 228; + constexpr int tileSize = 220; constexpr int tileSizeN = tileSize - 2 * tileBorder; const int numTh = H / (tileSizeN) + ((H % (tileSizeN)) ? 1 : 0); const int numTw = W / (tileSizeN) + ((W % (tileSizeN)) ? 1 : 0); @@ -64,10 +64,10 @@ void RawImageSource::rcd_demosaic() #pragma omp parallel #endif { - float *cfa = (float*) calloc( tileSize * tileSize, sizeof *cfa ); + float *cfa = (float*) calloc(tileSize * tileSize, sizeof *cfa); float (*rgb)[tileSize * tileSize] = (float (*)[tileSize * tileSize])malloc(3 * sizeof *rgb); - float *VH_Dir = (float*) calloc( tileSize * tileSize, sizeof *VH_Dir ); - float *PQ_Dir = (float*) calloc( tileSize * tileSize, sizeof *PQ_Dir ); + float *VH_Dir = (float*) calloc(tileSize * tileSize, sizeof *VH_Dir); + float *PQ_Dir = (float*) calloc(tileSize * tileSize, sizeof *PQ_Dir); float *lpf = PQ_Dir; // reuse buffer, they don't overlap in usage #ifdef _OPENMP @@ -99,12 +99,13 @@ void RawImageSource::rcd_demosaic() * STEP 1: Find cardinal and diagonal interpolation directions */ - for (int row = 4; row < tileSize - 4; row++ ) { - for (int col = 4, indx = row * tileSize + col; col < tileSize - 4; col++, indx++ ) { + for (int row = 4; row < tileSize - 4; row++) { + for (int col = 4, indx = row * tileSize + col; col < tileSize - 4; col++, indx++) { + const float cfai = cfa[indx]; //Calculate h/v local discrimination - float V_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - w1] - 18.0f * cfa[indx] * cfa[indx + w1] - 36.0f * cfa[indx] * cfa[indx - w2] - 36.0f * cfa[indx] * cfa[indx + w2] + 18.0f * cfa[indx] * cfa[indx - w3] + 18.0f * cfa[indx] * cfa[indx + w3] - 2.0f * cfa[indx] * cfa[indx - w4] - 2.0f * cfa[indx] * cfa[indx + w4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1] * cfa[indx + w1] - 12.0f * cfa[indx - w1] * cfa[indx - w2] + 24.0f * cfa[indx - w1] * cfa[indx + w2] - 38.0f * cfa[indx - w1] * cfa[indx - w3] + 16.0f * cfa[indx - w1] * cfa[indx + w3] + 12.0f * cfa[indx - w1] * cfa[indx - w4] - 6.0f * cfa[indx - w1] * cfa[indx + w4] + 46.0f * cfa[indx - w1] * cfa[indx - w1] + 24.0f * cfa[indx + w1] * cfa[indx - w2] - 12.0f * cfa[indx + w1] * cfa[indx + w2] + 16.0f * cfa[indx + w1] * cfa[indx - w3] - 38.0f * cfa[indx + w1] * cfa[indx + w3] - 6.0f * cfa[indx + w1] * cfa[indx - w4] + 12.0f * cfa[indx + w1] * cfa[indx + w4] + 46.0f * cfa[indx + w1] * cfa[indx + w1] + 14.0f * cfa[indx - w2] * cfa[indx + w2] - 12.0f * cfa[indx - w2] * cfa[indx + w3] - 2.0f * cfa[indx - w2] * cfa[indx - w4] + 2.0f * cfa[indx - w2] * cfa[indx + w4] + 11.0f * cfa[indx - w2] * cfa[indx - w2] - 12.0f * cfa[indx + w2] * cfa[indx - w3] + 2.0f * cfa[indx + w2] * cfa[indx - w4] - 2.0f * cfa[indx + w2] * cfa[indx + w4] + 11.0f * cfa[indx + w2] * cfa[indx + w2] + 2.0f * cfa[indx - w3] * cfa[indx + w3] - 6.0f * cfa[indx - w3] * cfa[indx - w4] + 10.0f * cfa[indx - w3] * cfa[indx - w3] - 6.0f * cfa[indx + w3] * cfa[indx + w4] + 10.0f * cfa[indx + w3] * cfa[indx + w3] + 1.0f * cfa[indx - w4] * cfa[indx - w4] + 1.0f * cfa[indx + w4] * cfa[indx + w4]); + float V_Stat = max(epssq, - 18.f * cfai * (cfa[indx - w1] + cfa[indx + w1] + 2.f * (cfa[indx - w2] + cfa[indx + w2]) - cfa[indx - w3] - cfa[indx + w3]) - 2.f * cfai * (cfa[indx - w4] + cfa[indx + w4] - 19.f * cfai) - cfa[indx - w1] * (70.f * cfa[indx + w1] + 12.f * cfa[indx - w2] - 24.f * cfa[indx + w2] + 38.f * cfa[indx - w3] - 16.f * cfa[indx + w3] - 12.f * cfa[indx - w4] + 6.f * cfa[indx + w4] - 46.f * cfa[indx - w1]) + cfa[indx + w1] * (24.f * cfa[indx - w2] - 12.f * cfa[indx + w2] + 16.f * cfa[indx - w3] - 38.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 12.f * cfa[indx + w4] + 46.f * cfa[indx + w1]) + cfa[indx - w2] * (14.f * cfa[indx + w2] - 12.f * cfa[indx + w3] - 2.f * cfa[indx - w4] + 2.f * cfa[indx + w4] + 11.f * cfa[indx - w2]) + cfa[indx + w2] * (-12.f * cfa[indx - w3] + 2.f * cfa[indx - w4] - 2.f * cfa[indx + w4] + 11.f * cfa[indx + w2]) + cfa[indx - w3] * (2.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 10.f * cfa[indx - w3]) + cfa[indx + w3] * (-6.f * cfa[indx + w4] + 10.f * cfa[indx + w3]) + cfa[indx - w4] * cfa[indx - w4] + cfa[indx + w4] * cfa[indx + w4]); - float H_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - 1] - 18.0f * cfa[indx] * cfa[indx + 1] - 36.0f * cfa[indx] * cfa[indx - 2] - 36.0f * cfa[indx] * cfa[indx + 2] + 18.0f * cfa[indx] * cfa[indx - 3] + 18.0f * cfa[indx] * cfa[indx + 3] - 2.0f * cfa[indx] * cfa[indx - 4] - 2.0f * cfa[indx] * cfa[indx + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - 1] * cfa[indx + 1] - 12.0f * cfa[indx - 1] * cfa[indx - 2] + 24.0f * cfa[indx - 1] * cfa[indx + 2] - 38.0f * cfa[indx - 1] * cfa[indx - 3] + 16.0f * cfa[indx - 1] * cfa[indx + 3] + 12.0f * cfa[indx - 1] * cfa[indx - 4] - 6.0f * cfa[indx - 1] * cfa[indx + 4] + 46.0f * cfa[indx - 1] * cfa[indx - 1] + 24.0f * cfa[indx + 1] * cfa[indx - 2] - 12.0f * cfa[indx + 1] * cfa[indx + 2] + 16.0f * cfa[indx + 1] * cfa[indx - 3] - 38.0f * cfa[indx + 1] * cfa[indx + 3] - 6.0f * cfa[indx + 1] * cfa[indx - 4] + 12.0f * cfa[indx + 1] * cfa[indx + 4] + 46.0f * cfa[indx + 1] * cfa[indx + 1] + 14.0f * cfa[indx - 2] * cfa[indx + 2] - 12.0f * cfa[indx - 2] * cfa[indx + 3] - 2.0f * cfa[indx - 2] * cfa[indx - 4] + 2.0f * cfa[indx - 2] * cfa[indx + 4] + 11.0f * cfa[indx - 2] * cfa[indx - 2] - 12.0f * cfa[indx + 2] * cfa[indx - 3] + 2.0f * cfa[indx + 2] * cfa[indx - 4] - 2.0f * cfa[indx + 2] * cfa[indx + 4] + 11.0f * cfa[indx + 2] * cfa[indx + 2] + 2.0f * cfa[indx - 3] * cfa[indx + 3] - 6.0f * cfa[indx - 3] * cfa[indx - 4] + 10.0f * cfa[indx - 3] * cfa[indx - 3] - 6.0f * cfa[indx + 3] * cfa[indx + 4] + 10.0f * cfa[indx + 3] * cfa[indx + 3] + 1.0f * cfa[indx - 4] * cfa[indx - 4] + 1.0f * cfa[indx + 4] * cfa[indx + 4]); + float H_Stat = max(epssq, - 18.f * cfai * (cfa[indx - 1] + cfa[indx + 1] + 2.f * (cfa[indx - 2] + cfa[indx + 2]) - cfa[indx - 3] - cfa[indx + 3]) - 2.f * cfai * (cfa[indx - 4] + cfa[indx + 4] - 19.f * cfai) - cfa[indx - 1] * (70.f * cfa[indx + 1] + 12.f * cfa[indx - 2] - 24.f * cfa[indx + 2] + 38.f * cfa[indx - 3] - 16.f * cfa[indx + 3] - 12.f * cfa[indx - 4] + 6.f * cfa[indx + 4] - 46.f * cfa[indx - 1]) + cfa[indx + 1] * (24.f * cfa[indx - 2] - 12.f * cfa[indx + 2] + 16.f * cfa[indx - 3] - 38.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 12.f * cfa[indx + 4] + 46.f * cfa[indx + 1]) + cfa[indx - 2] * (14.f * cfa[indx + 2] - 12.f * cfa[indx + 3] - 2.f * cfa[indx - 4] + 2.f * cfa[indx + 4] + 11.f * cfa[indx - 2]) + cfa[indx + 2] * (-12.f * cfa[indx - 3] + 2.f * cfa[indx - 4] - 2.f * cfa[indx + 4] + 11.f * cfa[indx + 2]) + cfa[indx - 3] * (2.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 10.f * cfa[indx - 3]) + cfa[indx + 3] * (-6.f * cfa[indx + 4] + 10.f * cfa[indx + 3]) + cfa[indx - 4] * cfa[indx - 4] + cfa[indx + 4] * cfa[indx + 4]); VH_Dir[indx] = V_Stat / (V_Stat + H_Stat); } @@ -115,9 +116,9 @@ void RawImageSource::rcd_demosaic() */ // Step 2.1: Low pass filter incorporating green, red and blue local samples from the raw data - for ( int row = 2; row < tileSize - 2; row++ ) { - for ( int col = 2 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 2; col += 2, indx += 2 ) { - lpf[indx>>1] = 0.25f * cfa[indx] + 0.125f * ( cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1] ) + 0.0625f * ( cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1] ); + for (int row = 2; row < tileSize - 2; row++) { + for (int col = 2 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tileSize - 2; col += 2, indx += 2) { + lpf[indx>>1] = 0.25f * cfa[indx] + 0.125f * (cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1]) + 0.0625f * (cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1]); } } @@ -125,8 +126,8 @@ void RawImageSource::rcd_demosaic() * STEP 3: Populate the green channel */ // Step 3.1: Populate the green channel at blue and red CFA positions - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { + for (int row = 4; row < tileSize - 4; row++) { + for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2) { // Refined vertical and horizontal local discrimination float VH_Central_Value = VH_Dir[indx]; @@ -135,23 +136,23 @@ void RawImageSource::rcd_demosaic() float VH_Disc = std::fabs(0.5f - VH_Central_Value) < std::fabs(0.5f - VH_Neighbourhood_Value) ? VH_Neighbourhood_Value : VH_Central_Value; // Cardinal gradients - float N_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx - w2] ) + std::fabs( cfa[indx - w1] - cfa[indx - w3] ) + std::fabs( cfa[indx - w2] - cfa[indx - w4] ); - float S_Grad = eps + std::fabs( cfa[indx - w1] - cfa[indx + w1] ) + std::fabs( cfa[indx] - cfa[indx + w2] ) + std::fabs( cfa[indx + w1] - cfa[indx + w3] ) + std::fabs( cfa[indx + w2] - cfa[indx + w4] ); - float W_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx - 2] ) + std::fabs( cfa[indx - 1] - cfa[indx - 3] ) + std::fabs( cfa[indx - 2] - cfa[indx - 4] ); - float E_Grad = eps + std::fabs( cfa[indx - 1] - cfa[indx + 1] ) + std::fabs( cfa[indx] - cfa[indx + 2] ) + std::fabs( cfa[indx + 1] - cfa[indx + 3] ) + std::fabs( cfa[indx + 2] - cfa[indx + 4] ); + float N_Grad = eps + std::fabs(cfa[indx - w1] - cfa[indx + w1]) + std::fabs(cfa[indx] - cfa[indx - w2]) + std::fabs(cfa[indx - w1] - cfa[indx - w3]) + std::fabs(cfa[indx - w2] - cfa[indx - w4]); + float S_Grad = eps + std::fabs(cfa[indx - w1] - cfa[indx + w1]) + std::fabs(cfa[indx] - cfa[indx + w2]) + std::fabs(cfa[indx + w1] - cfa[indx + w3]) + std::fabs(cfa[indx + w2] - cfa[indx + w4]); + float W_Grad = eps + std::fabs(cfa[indx - 1] - cfa[indx + 1]) + std::fabs(cfa[indx] - cfa[indx - 2]) + std::fabs(cfa[indx - 1] - cfa[indx - 3]) + std::fabs(cfa[indx - 2] - cfa[indx - 4]); + float E_Grad = eps + std::fabs(cfa[indx - 1] - cfa[indx + 1]) + std::fabs(cfa[indx] - cfa[indx + 2]) + std::fabs(cfa[indx + 1] - cfa[indx + 3]) + std::fabs(cfa[indx + 2] - cfa[indx + 4]); // Cardinal pixel estimations - float N_Est = cfa[indx - w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - w2)>>1] ) ); - float S_Est = cfa[indx + w1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + w2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + w2)>>1] ) ); - float W_Est = cfa[indx - 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx - 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx - 2)>>1] ) ); - float E_Est = cfa[indx + 1] * ( 1.f + ( lpf[indx>>1] - lpf[(indx + 2)>>1] ) / ( eps + lpf[indx>>1] + lpf[(indx + 2)>>1] ) ); + float N_Est = cfa[indx - w1] * (1.f + (lpf[indx>>1] - lpf[(indx - w2)>>1]) / (eps + lpf[indx>>1] + lpf[(indx - w2)>>1])); + float S_Est = cfa[indx + w1] * (1.f + (lpf[indx>>1] - lpf[(indx + w2)>>1]) / (eps + lpf[indx>>1] + lpf[(indx + w2)>>1])); + float W_Est = cfa[indx - 1] * (1.f + (lpf[indx>>1] - lpf[(indx - 2)>>1]) / (eps + lpf[indx>>1] + lpf[(indx - 2)>>1])); + float E_Est = cfa[indx + 1] * (1.f + (lpf[indx>>1] - lpf[(indx + 2)>>1]) / (eps + lpf[indx>>1] + lpf[(indx + 2)>>1])); // Vertical and horizontal estimations - float V_Est = ( S_Grad * N_Est + N_Grad * S_Est ) / (N_Grad + S_Grad ); - float H_Est = ( W_Grad * E_Est + E_Grad * W_Est ) / (E_Grad + W_Grad ); + float V_Est = (S_Grad * N_Est + N_Grad * S_Est) / (N_Grad + S_Grad); + float H_Est = (W_Grad * E_Est + E_Grad * W_Est) / (E_Grad + W_Grad); // G@B and G@R interpolation - rgb[1][indx] = VH_Disc * H_Est + ( 1.f - VH_Disc ) * V_Est; + rgb[1][indx] = VH_Disc * H_Est + (1.f - VH_Disc) * V_Est; } } @@ -160,32 +161,32 @@ void RawImageSource::rcd_demosaic() */ // Step 4.1: Calculate P/Q diagonal local discrimination - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { + for (int row = 4; row < tileSize - 4; row++) { + for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2) { - float P_Stat = max( - 18.f * cfa[indx] * cfa[indx - w1 - 1] - 18.f * cfa[indx] * cfa[indx + w1 + 1] - 36.f * cfa[indx] * cfa[indx - w2 - 2] - 36.f * cfa[indx] * cfa[indx + w2 + 2] + 18.f * cfa[indx] * cfa[indx - w3 - 3] + 18.f * cfa[indx] * cfa[indx + w3 + 3] - 2.f * cfa[indx] * cfa[indx - w4 - 4] - 2.f * cfa[indx] * cfa[indx + w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4], epssq ); - float Q_Stat = max( - 18.f * cfa[indx] * cfa[indx + w1 - 1] - 18.f * cfa[indx] * cfa[indx - w1 + 1] - 36.f * cfa[indx] * cfa[indx + w2 - 2] - 36.f * cfa[indx] * cfa[indx - w2 + 2] + 18.f * cfa[indx] * cfa[indx + w3 - 3] + 18.f * cfa[indx] * cfa[indx - w3 + 3] - 2.f * cfa[indx] * cfa[indx + w4 - 4] - 2.f * cfa[indx] * cfa[indx - w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4], epssq ); + float P_Stat = max(- 18.f * cfa[indx] * cfa[indx - w1 - 1] - 18.f * cfa[indx] * cfa[indx + w1 + 1] - 36.f * cfa[indx] * cfa[indx - w2 - 2] - 36.f * cfa[indx] * cfa[indx + w2 + 2] + 18.f * cfa[indx] * cfa[indx - w3 - 3] + 18.f * cfa[indx] * cfa[indx + w3 + 3] - 2.f * cfa[indx] * cfa[indx - w4 - 4] - 2.f * cfa[indx] * cfa[indx + w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4], epssq); + float Q_Stat = max(- 18.f * cfa[indx] * cfa[indx + w1 - 1] - 18.f * cfa[indx] * cfa[indx - w1 + 1] - 36.f * cfa[indx] * cfa[indx + w2 - 2] - 36.f * cfa[indx] * cfa[indx - w2 + 2] + 18.f * cfa[indx] * cfa[indx + w3 - 3] + 18.f * cfa[indx] * cfa[indx - w3 + 3] - 2.f * cfa[indx] * cfa[indx + w4 - 4] - 2.f * cfa[indx] * cfa[indx - w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4], epssq); - PQ_Dir[indx] = P_Stat / ( P_Stat + Q_Stat ); + PQ_Dir[indx] = P_Stat / (P_Stat + Q_Stat); } } // Step 4.2: Populate the red and blue channels at blue and red CFA positions - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * tileSize + col, c = 2 - FC( row, col ); col < tileSize - 4; col += 2, indx += 2 ) { + for (int row = 4; row < tileSize - 4; row++) { + for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col, c = 2 - FC(row, col); col < tileSize - 4; col += 2, indx += 2) { // Refined P/Q diagonal local discrimination float PQ_Central_Value = PQ_Dir[indx]; - float PQ_Neighbourhood_Value = 0.25f * ( PQ_Dir[indx - w1 - 1] + PQ_Dir[indx - w1 + 1] + PQ_Dir[indx + w1 - 1] + PQ_Dir[indx + w1 + 1] ); + float PQ_Neighbourhood_Value = 0.25f * (PQ_Dir[indx - w1 - 1] + PQ_Dir[indx - w1 + 1] + PQ_Dir[indx + w1 - 1] + PQ_Dir[indx + w1 + 1]); - float PQ_Disc = ( std::fabs( 0.5f - PQ_Central_Value ) < std::fabs( 0.5f - PQ_Neighbourhood_Value ) ) ? PQ_Neighbourhood_Value : PQ_Central_Value; + float PQ_Disc = (std::fabs(0.5f - PQ_Central_Value) < std::fabs(0.5f - PQ_Neighbourhood_Value)) ? PQ_Neighbourhood_Value : PQ_Central_Value; // Diagonal gradients - float NW_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx - w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 - 2] ); - float NE_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx - w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx - w2 + 2] ); - float SW_Grad = eps + std::fabs( rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs( rgb[c][indx + w1 - 1] - rgb[c][indx + w3 - 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 - 2] ); - float SE_Grad = eps + std::fabs( rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs( rgb[c][indx + w1 + 1] - rgb[c][indx + w3 + 3] ) + std::fabs( rgb[1][indx] - rgb[1][indx + w2 + 2] ); + float NW_Grad = eps + std::fabs(rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs(rgb[c][indx - w1 - 1] - rgb[c][indx - w3 - 3]) + std::fabs(rgb[1][indx] - rgb[1][indx - w2 - 2]); + float NE_Grad = eps + std::fabs(rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs(rgb[c][indx - w1 + 1] - rgb[c][indx - w3 + 3]) + std::fabs(rgb[1][indx] - rgb[1][indx - w2 + 2]); + float SW_Grad = eps + std::fabs(rgb[c][indx - w1 + 1] - rgb[c][indx + w1 - 1]) + std::fabs(rgb[c][indx + w1 - 1] - rgb[c][indx + w3 - 3]) + std::fabs(rgb[1][indx] - rgb[1][indx + w2 - 2]); + float SE_Grad = eps + std::fabs(rgb[c][indx - w1 - 1] - rgb[c][indx + w1 + 1]) + std::fabs(rgb[c][indx + w1 + 1] - rgb[c][indx + w3 + 3]) + std::fabs(rgb[1][indx] - rgb[1][indx + w2 + 2]); // Diagonal colour differences float NW_Est = rgb[c][indx - w1 - 1] - rgb[1][indx - w1 - 1]; @@ -194,36 +195,35 @@ void RawImageSource::rcd_demosaic() float SE_Est = rgb[c][indx + w1 + 1] - rgb[1][indx + w1 + 1]; // P/Q estimations - float P_Est = ( NW_Grad * SE_Est + SE_Grad * NW_Est ) / (NW_Grad + SE_Grad ); - float Q_Est = ( NE_Grad * SW_Est + SW_Grad * NE_Est ) / (NE_Grad + SW_Grad ); + float P_Est = (NW_Grad * SE_Est + SE_Grad * NW_Est) / (NW_Grad + SE_Grad); + float Q_Est = (NE_Grad * SW_Est + SW_Grad * NE_Est) / (NE_Grad + SW_Grad); // R@B and B@R interpolation - rgb[c][indx] = rgb[1][indx] + ( 1.f - PQ_Disc ) * P_Est + PQ_Disc * Q_Est; + rgb[c][indx] = rgb[1][indx] + (1.f - PQ_Disc) * P_Est + PQ_Disc * Q_Est; } } // Step 4.3: Populate the red and blue channels at green CFA positions - for ( int row = 4; row < tileSize - 4; row++ ) { - for ( int col = 4 + (FC( row, 1 ) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2 ) { + for (int row = 4; row < tileSize - 4; row++) { + for (int col = 4 + (FC(row, 1) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2) { // Refined vertical and horizontal local discrimination float VH_Central_Value = VH_Dir[indx]; - float VH_Neighbourhood_Value = 0.25f * ( (VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1]) ); - - float VH_Disc = ( std::fabs( 0.5f - VH_Central_Value ) < std::fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value; - float N1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - w2] ); - float S1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + w2] ); - float W1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx - 2] ); - float E1 = eps + std::fabs( rgb[1][indx] - rgb[1][indx + 2] ); - for ( int c = 0; c <= 2; c += 2 ) { + float VH_Neighbourhood_Value = 0.25f * ((VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1])); + float VH_Disc = (std::fabs(0.5f - VH_Central_Value) < std::fabs(0.5f - VH_Neighbourhood_Value)) ? VH_Neighbourhood_Value : VH_Central_Value; + float N1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx - w2]); + float S1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx + w2]); + float W1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx - 2]); + float E1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx + 2]); + for (int c = 0; c <= 2; c += 2) { // Cardinal gradients - float N_Grad = N1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx - w1] - rgb[c][indx - w3] ); - float S_Grad = S1 + std::fabs( rgb[c][indx - w1] - rgb[c][indx + w1] ) + std::fabs( rgb[c][indx + w1] - rgb[c][indx + w3] ); - float W_Grad = W1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx - 1] - rgb[c][indx - 3] ); - float E_Grad = E1 + std::fabs( rgb[c][indx - 1] - rgb[c][indx + 1] ) + std::fabs( rgb[c][indx + 1] - rgb[c][indx + 3] ); + float N_Grad = N1 + std::fabs(rgb[c][indx - w1] - rgb[c][indx + w1]) + std::fabs(rgb[c][indx - w1] - rgb[c][indx - w3]); + float S_Grad = S1 + std::fabs(rgb[c][indx - w1] - rgb[c][indx + w1]) + std::fabs(rgb[c][indx + w1] - rgb[c][indx + w3]); + float W_Grad = W1 + std::fabs(rgb[c][indx - 1] - rgb[c][indx + 1]) + std::fabs(rgb[c][indx - 1] - rgb[c][indx - 3]); + float E_Grad = E1 + std::fabs(rgb[c][indx - 1] - rgb[c][indx + 1]) + std::fabs(rgb[c][indx + 1] - rgb[c][indx + 3]); // Cardinal colour differences float N_Est = rgb[c][indx - w1] - rgb[1][indx - w1]; @@ -232,11 +232,11 @@ void RawImageSource::rcd_demosaic() float E_Est = rgb[c][indx + 1] - rgb[1][indx + 1]; // Vertical and horizontal estimations - float V_Est = ( N_Grad * S_Est + S_Grad * N_Est ) / (N_Grad + S_Grad ); - float H_Est = ( E_Grad * W_Est + W_Grad * E_Est ) / (E_Grad + W_Grad ); + float V_Est = (N_Grad * S_Est + S_Grad * N_Est) / (N_Grad + S_Grad); + float H_Est = (E_Grad * W_Est + W_Grad * E_Est) / (E_Grad + W_Grad); // R@G and B@G interpolation - rgb[c][indx] = rgb[1][indx] + ( 1.f - VH_Disc ) * V_Est + VH_Disc * H_Est; + rgb[c][indx] = rgb[1][indx] + (1.f - VH_Disc) * V_Est + VH_Disc * H_Est; } } From 7e5f2ee19e7328c0eec218f8388dfb7e6e004514 Mon Sep 17 00:00:00 2001 From: heckflosse Date: Thu, 1 Mar 2018 00:13:59 +0100 Subject: [PATCH 11/27] rcd_demosaic(): another small speedup --- rtengine/rcd_demosaic.cc | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/rtengine/rcd_demosaic.cc b/rtengine/rcd_demosaic.cc index 127140dda..6a800e498 100644 --- a/rtengine/rcd_demosaic.cc +++ b/rtengine/rcd_demosaic.cc @@ -103,9 +103,8 @@ void RawImageSource::rcd_demosaic() for (int col = 4, indx = row * tileSize + col; col < tileSize - 4; col++, indx++) { const float cfai = cfa[indx]; //Calculate h/v local discrimination - float V_Stat = max(epssq, - 18.f * cfai * (cfa[indx - w1] + cfa[indx + w1] + 2.f * (cfa[indx - w2] + cfa[indx + w2]) - cfa[indx - w3] - cfa[indx + w3]) - 2.f * cfai * (cfa[indx - w4] + cfa[indx + w4] - 19.f * cfai) - cfa[indx - w1] * (70.f * cfa[indx + w1] + 12.f * cfa[indx - w2] - 24.f * cfa[indx + w2] + 38.f * cfa[indx - w3] - 16.f * cfa[indx + w3] - 12.f * cfa[indx - w4] + 6.f * cfa[indx + w4] - 46.f * cfa[indx - w1]) + cfa[indx + w1] * (24.f * cfa[indx - w2] - 12.f * cfa[indx + w2] + 16.f * cfa[indx - w3] - 38.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 12.f * cfa[indx + w4] + 46.f * cfa[indx + w1]) + cfa[indx - w2] * (14.f * cfa[indx + w2] - 12.f * cfa[indx + w3] - 2.f * cfa[indx - w4] + 2.f * cfa[indx + w4] + 11.f * cfa[indx - w2]) + cfa[indx + w2] * (-12.f * cfa[indx - w3] + 2.f * cfa[indx - w4] - 2.f * cfa[indx + w4] + 11.f * cfa[indx + w2]) + cfa[indx - w3] * (2.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 10.f * cfa[indx - w3]) + cfa[indx + w3] * (-6.f * cfa[indx + w4] + 10.f * cfa[indx + w3]) + cfa[indx - w4] * cfa[indx - w4] + cfa[indx + w4] * cfa[indx + w4]); - - float H_Stat = max(epssq, - 18.f * cfai * (cfa[indx - 1] + cfa[indx + 1] + 2.f * (cfa[indx - 2] + cfa[indx + 2]) - cfa[indx - 3] - cfa[indx + 3]) - 2.f * cfai * (cfa[indx - 4] + cfa[indx + 4] - 19.f * cfai) - cfa[indx - 1] * (70.f * cfa[indx + 1] + 12.f * cfa[indx - 2] - 24.f * cfa[indx + 2] + 38.f * cfa[indx - 3] - 16.f * cfa[indx + 3] - 12.f * cfa[indx - 4] + 6.f * cfa[indx + 4] - 46.f * cfa[indx - 1]) + cfa[indx + 1] * (24.f * cfa[indx - 2] - 12.f * cfa[indx + 2] + 16.f * cfa[indx - 3] - 38.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 12.f * cfa[indx + 4] + 46.f * cfa[indx + 1]) + cfa[indx - 2] * (14.f * cfa[indx + 2] - 12.f * cfa[indx + 3] - 2.f * cfa[indx - 4] + 2.f * cfa[indx + 4] + 11.f * cfa[indx - 2]) + cfa[indx + 2] * (-12.f * cfa[indx - 3] + 2.f * cfa[indx - 4] - 2.f * cfa[indx + 4] + 11.f * cfa[indx + 2]) + cfa[indx - 3] * (2.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 10.f * cfa[indx - 3]) + cfa[indx + 3] * (-6.f * cfa[indx + 4] + 10.f * cfa[indx + 3]) + cfa[indx - 4] * cfa[indx - 4] + cfa[indx + 4] * cfa[indx + 4]); + float V_Stat = max(epssq, - 18.f * cfai * (cfa[indx - w1] + cfa[indx + w1] + 2.f * (cfa[indx - w2] + cfa[indx + w2]) - cfa[indx - w3] - cfa[indx + w3]) - 2.f * cfai * (cfa[indx - w4] + cfa[indx + w4] - 19.f * cfai) - cfa[indx - w1] * (70.f * cfa[indx + w1] + 12.f * cfa[indx - w2] - 24.f * cfa[indx + w2] + 38.f * cfa[indx - w3] - 16.f * cfa[indx + w3] - 12.f * cfa[indx - w4] + 6.f * cfa[indx + w4] - 46.f * cfa[indx - w1]) + cfa[indx + w1] * (24.f * cfa[indx - w2] - 12.f * cfa[indx + w2] + 16.f * cfa[indx - w3] - 38.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 12.f * cfa[indx + w4] + 46.f * cfa[indx + w1]) + cfa[indx - w2] * (14.f * cfa[indx + w2] - 12.f * cfa[indx + w3] - 2.f * cfa[indx - w4] + 2.f * cfa[indx + w4] + 11.f * cfa[indx - w2]) + cfa[indx + w2] * (-12.f * cfa[indx - w3] + 2.f * (cfa[indx - w4] - cfa[indx + w4]) + 11.f * cfa[indx + w2]) + cfa[indx - w3] * (2.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 10.f * cfa[indx - w3]) + cfa[indx + w3] * (-6.f * cfa[indx + w4] + 10.f * cfa[indx + w3]) + cfa[indx - w4] * cfa[indx - w4] + cfa[indx + w4] * cfa[indx + w4]); + float H_Stat = max(epssq, - 18.f * cfai * (cfa[indx - 1] + cfa[indx + 1] + 2.f * (cfa[indx - 2] + cfa[indx + 2]) - cfa[indx - 3] - cfa[indx + 3]) - 2.f * cfai * (cfa[indx - 4] + cfa[indx + 4] - 19.f * cfai) - cfa[indx - 1] * (70.f * cfa[indx + 1] + 12.f * cfa[indx - 2] - 24.f * cfa[indx + 2] + 38.f * cfa[indx - 3] - 16.f * cfa[indx + 3] - 12.f * cfa[indx - 4] + 6.f * cfa[indx + 4] - 46.f * cfa[indx - 1]) + cfa[indx + 1] * (24.f * cfa[indx - 2] - 12.f * cfa[indx + 2] + 16.f * cfa[indx - 3] - 38.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 12.f * cfa[indx + 4] + 46.f * cfa[indx + 1]) + cfa[indx - 2] * (14.f * cfa[indx + 2] - 12.f * cfa[indx + 3] - 2.f * cfa[indx - 4] + 2.f * cfa[indx + 4] + 11.f * cfa[indx - 2]) + cfa[indx + 2] * (-12.f * cfa[indx - 3] + 2.f * (cfa[indx - 4] - cfa[indx + 4]) + 11.f * cfa[indx + 2]) + cfa[indx - 3] * (2.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 10.f * cfa[indx - 3]) + cfa[indx + 3] * (-6.f * cfa[indx + 4] + 10.f * cfa[indx + 3]) + cfa[indx - 4] * cfa[indx - 4] + cfa[indx + 4] * cfa[indx + 4]); VH_Dir[indx] = V_Stat / (V_Stat + H_Stat); } @@ -163,9 +162,10 @@ void RawImageSource::rcd_demosaic() // Step 4.1: Calculate P/Q diagonal local discrimination for (int row = 4; row < tileSize - 4; row++) { for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2) { + const float cfai = cfa[indx]; - float P_Stat = max(- 18.f * cfa[indx] * cfa[indx - w1 - 1] - 18.f * cfa[indx] * cfa[indx + w1 + 1] - 36.f * cfa[indx] * cfa[indx - w2 - 2] - 36.f * cfa[indx] * cfa[indx + w2 + 2] + 18.f * cfa[indx] * cfa[indx - w3 - 3] + 18.f * cfa[indx] * cfa[indx + w3 + 3] - 2.f * cfa[indx] * cfa[indx - w4 - 4] - 2.f * cfa[indx] * cfa[indx + w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4], epssq); - float Q_Stat = max(- 18.f * cfa[indx] * cfa[indx + w1 - 1] - 18.f * cfa[indx] * cfa[indx - w1 + 1] - 36.f * cfa[indx] * cfa[indx + w2 - 2] - 36.f * cfa[indx] * cfa[indx - w2 + 2] + 18.f * cfa[indx] * cfa[indx + w3 - 3] + 18.f * cfa[indx] * cfa[indx - w3 + 3] - 2.f * cfa[indx] * cfa[indx + w4 - 4] - 2.f * cfa[indx] * cfa[indx - w4 + 4] + 38.f * cfa[indx] * cfa[indx] - 70.f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4], epssq); + float P_Stat = max(epssq, - 18.f * cfai * (cfa[indx - w1 - 1] + cfa[indx + w1 + 1] + 2.f * (cfa[indx - w2 - 2] + cfa[indx + w2 + 2]) - cfa[indx - w3 - 3] - cfa[indx + w3 + 3]) - 2.f * cfai * (cfa[indx - w4 - 4] + cfa[indx + w4 + 4] - 19.f * cfai) - cfa[indx - w1 - 1] * (70.f * cfa[indx + w1 + 1] - 12.f * cfa[indx - w2 - 2] + 24.f * cfa[indx + w2 + 2] - 38.f * cfa[indx - w3 - 3] + 16.f * cfa[indx + w3 + 3] + 12.f * cfa[indx - w4 - 4] - 6.f * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1]) + cfa[indx + w1 + 1] * (24.f * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] + 16.f * cfa[indx - w3 - 3] - 38.f * cfa[indx + w3 + 3] - 6.f * cfa[indx - w4 - 4] + 12.f * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1]) + cfa[indx - w2 - 2] * (14.f * cfa[indx + w2 + 2] - 12.f * cfa[indx + w3 + 3] - 2.f * (cfa[indx - w4 - 4] - cfa[indx + w4 + 4]) + 11.f * cfa[indx - w2 - 2]) - cfa[indx + w2 + 2] * (12.f * cfa[indx - w3 - 3] + 2.f * (cfa[indx - w4 - 4] - cfa[indx + w4 + 4]) + 11.f * cfa[indx + w2 + 2]) + cfa[indx - w3 - 3] * (2.f * cfa[indx + w3 + 3] - 6.f * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3]) - cfa[indx + w3 + 3] * (6.f * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3]) + cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + cfa[indx + w4 + 4] * cfa[indx + w4 + 4]); + float Q_Stat = max(epssq, - 18.f * cfai * (cfa[indx + w1 - 1] + cfa[indx - w1 + 1] + 2.f * (cfa[indx + w2 - 2] + cfa[indx - w2 + 2]) - cfa[indx + w3 - 3] - cfa[indx - w3 + 3]) - 2.f * cfai * (cfa[indx + w4 - 4] + cfa[indx - w4 + 4] - 19.f * cfai) - cfa[indx + w1 - 1] * (70.f * cfa[indx - w1 + 1] - 12.f * cfa[indx + w2 - 2] + 24.f * cfa[indx - w2 + 2] - 38.f * cfa[indx + w3 - 3] + 16.f * cfa[indx - w3 + 3] + 12.f * cfa[indx + w4 - 4] - 6.f * cfa[indx - w4 + 4] + 46.f * cfa[indx + w1 - 1]) + cfa[indx - w1 + 1] * (24.f * cfa[indx + w2 - 2] - 12.f * cfa[indx - w2 + 2] + 16.f * cfa[indx + w3 - 3] - 38.f * cfa[indx - w3 + 3] - 6.f * cfa[indx + w4 - 4] + 12.f * cfa[indx - w4 + 4] + 46.f * cfa[indx - w1 + 1]) + cfa[indx + w2 - 2] * (14.f * cfa[indx - w2 + 2] - 12.f * cfa[indx - w3 + 3] - 2.f * (cfa[indx + w4 - 4] - cfa[indx - w4 + 4]) + 11.f * cfa[indx + w2 - 2]) - cfa[indx - w2 + 2] * (12.f * cfa[indx + w3 - 3] + 2.f * (cfa[indx + w4 - 4] - cfa[indx - w4 + 4]) + 11.f * cfa[indx - w2 + 2]) + cfa[indx + w3 - 3] * (2.f * cfa[indx - w3 + 3] - 6.f * cfa[indx + w4 - 4] + 10.f * cfa[indx + w3 - 3]) - cfa[indx - w3 + 3] * (6.f * cfa[indx - w4 + 4] + 10.f * cfa[indx - w3 + 3]) + cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + cfa[indx - w4 + 4] * cfa[indx - w4 + 4]); PQ_Dir[indx] = P_Stat / (P_Stat + Q_Stat); @@ -220,10 +220,12 @@ void RawImageSource::rcd_demosaic() for (int c = 0; c <= 2; c += 2) { // Cardinal gradients - float N_Grad = N1 + std::fabs(rgb[c][indx - w1] - rgb[c][indx + w1]) + std::fabs(rgb[c][indx - w1] - rgb[c][indx - w3]); - float S_Grad = S1 + std::fabs(rgb[c][indx - w1] - rgb[c][indx + w1]) + std::fabs(rgb[c][indx + w1] - rgb[c][indx + w3]); - float W_Grad = W1 + std::fabs(rgb[c][indx - 1] - rgb[c][indx + 1]) + std::fabs(rgb[c][indx - 1] - rgb[c][indx - 3]); - float E_Grad = E1 + std::fabs(rgb[c][indx - 1] - rgb[c][indx + 1]) + std::fabs(rgb[c][indx + 1] - rgb[c][indx + 3]); + float SNabs = std::fabs(rgb[c][indx - w1] - rgb[c][indx + w1]); + float EWabs = std::fabs(rgb[c][indx - 1] - rgb[c][indx + 1]); + float N_Grad = N1 + SNabs + std::fabs(rgb[c][indx - w1] - rgb[c][indx - w3]); + float S_Grad = S1 + SNabs + std::fabs(rgb[c][indx + w1] - rgb[c][indx + w3]); + float W_Grad = W1 + EWabs + std::fabs(rgb[c][indx - 1] - rgb[c][indx - 3]); + float E_Grad = E1 + EWabs + std::fabs(rgb[c][indx + 1] - rgb[c][indx + 3]); // Cardinal colour differences float N_Est = rgb[c][indx - w1] - rgb[1][indx - w1]; From 9514ba713c23d15129f76dd45d94a4e4c1666613 Mon Sep 17 00:00:00 2001 From: heckflosse Date: Fri, 2 Mar 2018 14:28:51 +0100 Subject: [PATCH 12/27] rcd_demosaic(): Fixed tiling bug. Small speedup --- rtengine/rcd_demosaic.cc | 101 +++++++++++++++++++++++++-------------- 1 file changed, 66 insertions(+), 35 deletions(-) diff --git a/rtengine/rcd_demosaic.cc b/rtengine/rcd_demosaic.cc index 6a800e498..c6a80dab7 100644 --- a/rtengine/rcd_demosaic.cc +++ b/rtengine/rcd_demosaic.cc @@ -44,15 +44,16 @@ void RawImageSource::rcd_demosaic() { BENCHFUN + volatile double progress = 0.0; + if (plistener) { - plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), "rcd")); + plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), RAWParams::BayerSensor::getMethodString(RAWParams::BayerSensor::Method::RCD))); plistener->setProgress(0); } - const int width = W, height = H; - constexpr int tileBorder = 8; - constexpr int tileSize = 220; - constexpr int tileSizeN = tileSize - 2 * tileBorder; + constexpr int rcdBorder = 9; + constexpr int tileSize = 214; + constexpr int tileSizeN = tileSize - 2 * rcdBorder; const int numTh = H / (tileSizeN) + ((H % (tileSizeN)) ? 1 : 0); const int numTw = W / (tileSizeN) + ((W % (tileSizeN)) ? 1 : 0); constexpr int w1 = tileSize, w2 = 2 * tileSize, w3 = 3 * tileSize, w4 = 4 * tileSize; @@ -64,6 +65,7 @@ void RawImageSource::rcd_demosaic() #pragma omp parallel #endif { + int progresscounter = 0; float *cfa = (float*) calloc(tileSize * tileSize, sizeof *cfa); float (*rgb)[tileSize * tileSize] = (float (*)[tileSize * tileSize])malloc(3 * sizeof *rgb); float *VH_Dir = (float*) calloc(tileSize * tileSize, sizeof *VH_Dir); @@ -75,10 +77,19 @@ void RawImageSource::rcd_demosaic() #endif for(int tr = 0; tr < numTh; ++tr) { for(int tc = 0; tc < numTw; ++tc) { - int rowStart = tr * tileSizeN; - int rowEnd = std::min(tr * tileSizeN + tileSize, H); - int colStart = tc * tileSizeN; - int colEnd = std::min(tc * tileSizeN + tileSize, W); + const int rowStart = tr * tileSizeN; + const int rowEnd = std::min(rowStart + tileSize, H); + if(rowStart + rcdBorder == rowEnd - rcdBorder) { + continue; + } + const int colStart = tc * tileSizeN; + const int colEnd = std::min(colStart + tileSize, W); + if(colStart + rcdBorder == colEnd - rcdBorder) { + continue; + } + + const int tileRows = std::min(rowEnd - rowStart, tileSize); + const int tilecols = std::min(colEnd - colStart, tileSize); for (int row = rowStart; row < rowEnd; row++) { int indx = (row - rowStart) * tileSize; @@ -99,12 +110,12 @@ void RawImageSource::rcd_demosaic() * STEP 1: Find cardinal and diagonal interpolation directions */ - for (int row = 4; row < tileSize - 4; row++) { - for (int col = 4, indx = row * tileSize + col; col < tileSize - 4; col++, indx++) { + for (int row = 4; row < tileRows - 4; row++) { + for (int col = 4, indx = row * tileSize + col; col < tilecols - 4; col++, indx++) { const float cfai = cfa[indx]; //Calculate h/v local discrimination - float V_Stat = max(epssq, - 18.f * cfai * (cfa[indx - w1] + cfa[indx + w1] + 2.f * (cfa[indx - w2] + cfa[indx + w2]) - cfa[indx - w3] - cfa[indx + w3]) - 2.f * cfai * (cfa[indx - w4] + cfa[indx + w4] - 19.f * cfai) - cfa[indx - w1] * (70.f * cfa[indx + w1] + 12.f * cfa[indx - w2] - 24.f * cfa[indx + w2] + 38.f * cfa[indx - w3] - 16.f * cfa[indx + w3] - 12.f * cfa[indx - w4] + 6.f * cfa[indx + w4] - 46.f * cfa[indx - w1]) + cfa[indx + w1] * (24.f * cfa[indx - w2] - 12.f * cfa[indx + w2] + 16.f * cfa[indx - w3] - 38.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 12.f * cfa[indx + w4] + 46.f * cfa[indx + w1]) + cfa[indx - w2] * (14.f * cfa[indx + w2] - 12.f * cfa[indx + w3] - 2.f * cfa[indx - w4] + 2.f * cfa[indx + w4] + 11.f * cfa[indx - w2]) + cfa[indx + w2] * (-12.f * cfa[indx - w3] + 2.f * (cfa[indx - w4] - cfa[indx + w4]) + 11.f * cfa[indx + w2]) + cfa[indx - w3] * (2.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 10.f * cfa[indx - w3]) + cfa[indx + w3] * (-6.f * cfa[indx + w4] + 10.f * cfa[indx + w3]) + cfa[indx - w4] * cfa[indx - w4] + cfa[indx + w4] * cfa[indx + w4]); - float H_Stat = max(epssq, - 18.f * cfai * (cfa[indx - 1] + cfa[indx + 1] + 2.f * (cfa[indx - 2] + cfa[indx + 2]) - cfa[indx - 3] - cfa[indx + 3]) - 2.f * cfai * (cfa[indx - 4] + cfa[indx + 4] - 19.f * cfai) - cfa[indx - 1] * (70.f * cfa[indx + 1] + 12.f * cfa[indx - 2] - 24.f * cfa[indx + 2] + 38.f * cfa[indx - 3] - 16.f * cfa[indx + 3] - 12.f * cfa[indx - 4] + 6.f * cfa[indx + 4] - 46.f * cfa[indx - 1]) + cfa[indx + 1] * (24.f * cfa[indx - 2] - 12.f * cfa[indx + 2] + 16.f * cfa[indx - 3] - 38.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 12.f * cfa[indx + 4] + 46.f * cfa[indx + 1]) + cfa[indx - 2] * (14.f * cfa[indx + 2] - 12.f * cfa[indx + 3] - 2.f * cfa[indx - 4] + 2.f * cfa[indx + 4] + 11.f * cfa[indx - 2]) + cfa[indx + 2] * (-12.f * cfa[indx - 3] + 2.f * (cfa[indx - 4] - cfa[indx + 4]) + 11.f * cfa[indx + 2]) + cfa[indx - 3] * (2.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 10.f * cfa[indx - 3]) + cfa[indx + 3] * (-6.f * cfa[indx + 4] + 10.f * cfa[indx + 3]) + cfa[indx - 4] * cfa[indx - 4] + cfa[indx + 4] * cfa[indx + 4]); + float V_Stat = max(epssq, -18.f * cfai * (cfa[indx - w1] + cfa[indx + w1] + 2.f * (cfa[indx - w2] + cfa[indx + w2]) - cfa[indx - w3] - cfa[indx + w3]) - 2.f * cfai * (cfa[indx - w4] + cfa[indx + w4] - 19.f * cfai) - cfa[indx - w1] * (70.f * cfa[indx + w1] + 12.f * cfa[indx - w2] - 24.f * cfa[indx + w2] + 38.f * cfa[indx - w3] - 16.f * cfa[indx + w3] - 12.f * cfa[indx - w4] + 6.f * cfa[indx + w4] - 46.f * cfa[indx - w1]) + cfa[indx + w1] * (24.f * cfa[indx - w2] - 12.f * cfa[indx + w2] + 16.f * cfa[indx - w3] - 38.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 12.f * cfa[indx + w4] + 46.f * cfa[indx + w1]) + cfa[indx - w2] * (14.f * cfa[indx + w2] - 12.f * cfa[indx + w3] - 2.f * cfa[indx - w4] + 2.f * cfa[indx + w4] + 11.f * cfa[indx - w2]) + cfa[indx + w2] * (-12.f * cfa[indx - w3] + 2.f * (cfa[indx - w4] - cfa[indx + w4]) + 11.f * cfa[indx + w2]) + cfa[indx - w3] * (2.f * cfa[indx + w3] - 6.f * cfa[indx - w4] + 10.f * cfa[indx - w3]) + cfa[indx + w3] * (-6.f * cfa[indx + w4] + 10.f * cfa[indx + w3]) + cfa[indx - w4] * cfa[indx - w4] + cfa[indx + w4] * cfa[indx + w4]); + float H_Stat = max(epssq, -18.f * cfai * (cfa[indx - 1] + cfa[indx + 1] + 2.f * (cfa[indx - 2] + cfa[indx + 2]) - cfa[indx - 3] - cfa[indx + 3]) - 2.f * cfai * (cfa[indx - 4] + cfa[indx + 4] - 19.f * cfai) - cfa[indx - 1] * (70.f * cfa[indx + 1] + 12.f * cfa[indx - 2] - 24.f * cfa[indx + 2] + 38.f * cfa[indx - 3] - 16.f * cfa[indx + 3] - 12.f * cfa[indx - 4] + 6.f * cfa[indx + 4] - 46.f * cfa[indx - 1]) + cfa[indx + 1] * (24.f * cfa[indx - 2] - 12.f * cfa[indx + 2] + 16.f * cfa[indx - 3] - 38.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 12.f * cfa[indx + 4] + 46.f * cfa[indx + 1]) + cfa[indx - 2] * (14.f * cfa[indx + 2] - 12.f * cfa[indx + 3] - 2.f * cfa[indx - 4] + 2.f * cfa[indx + 4] + 11.f * cfa[indx - 2]) + cfa[indx + 2] * (-12.f * cfa[indx - 3] + 2.f * (cfa[indx - 4] - cfa[indx + 4]) + 11.f * cfa[indx + 2]) + cfa[indx - 3] * (2.f * cfa[indx + 3] - 6.f * cfa[indx - 4] + 10.f * cfa[indx - 3]) + cfa[indx + 3] * (-6.f * cfa[indx + 4] + 10.f * cfa[indx + 3]) + cfa[indx - 4] * cfa[indx - 4] + cfa[indx + 4] * cfa[indx + 4]); VH_Dir[indx] = V_Stat / (V_Stat + H_Stat); } @@ -115,8 +126,8 @@ void RawImageSource::rcd_demosaic() */ // Step 2.1: Low pass filter incorporating green, red and blue local samples from the raw data - for (int row = 2; row < tileSize - 2; row++) { - for (int col = 2 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tileSize - 2; col += 2, indx += 2) { + for (int row = 2; row < tileRows - 2; row++) { + for (int col = 2 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tilecols - 2; col += 2, indx += 2) { lpf[indx>>1] = 0.25f * cfa[indx] + 0.125f * (cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1]) + 0.0625f * (cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1]); } } @@ -125,8 +136,8 @@ void RawImageSource::rcd_demosaic() * STEP 3: Populate the green channel */ // Step 3.1: Populate the green channel at blue and red CFA positions - for (int row = 4; row < tileSize - 4; row++) { - for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2) { + for (int row = 4; row < tileRows - 4; row++) { + for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tilecols - 4; col += 2, indx += 2) { // Refined vertical and horizontal local discrimination float VH_Central_Value = VH_Dir[indx]; @@ -160,8 +171,8 @@ void RawImageSource::rcd_demosaic() */ // Step 4.1: Calculate P/Q diagonal local discrimination - for (int row = 4; row < tileSize - 4; row++) { - for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2) { + for (int row = rcdBorder - 4; row < tileRows - rcdBorder + 4; row++) { + for (int col = rcdBorder - 4 + (FC(row, rcdBorder) & 1), indx = row * tileSize + col; col < tilecols - rcdBorder + 4; col += 2, indx += 2) { const float cfai = cfa[indx]; float P_Stat = max(epssq, - 18.f * cfai * (cfa[indx - w1 - 1] + cfa[indx + w1 + 1] + 2.f * (cfa[indx - w2 - 2] + cfa[indx + w2 + 2]) - cfa[indx - w3 - 3] - cfa[indx + w3 + 3]) - 2.f * cfai * (cfa[indx - w4 - 4] + cfa[indx + w4 + 4] - 19.f * cfai) - cfa[indx - w1 - 1] * (70.f * cfa[indx + w1 + 1] - 12.f * cfa[indx - w2 - 2] + 24.f * cfa[indx + w2 + 2] - 38.f * cfa[indx - w3 - 3] + 16.f * cfa[indx + w3 + 3] + 12.f * cfa[indx - w4 - 4] - 6.f * cfa[indx + w4 + 4] + 46.f * cfa[indx - w1 - 1]) + cfa[indx + w1 + 1] * (24.f * cfa[indx - w2 - 2] - 12.f * cfa[indx + w2 + 2] + 16.f * cfa[indx - w3 - 3] - 38.f * cfa[indx + w3 + 3] - 6.f * cfa[indx - w4 - 4] + 12.f * cfa[indx + w4 + 4] + 46.f * cfa[indx + w1 + 1]) + cfa[indx - w2 - 2] * (14.f * cfa[indx + w2 + 2] - 12.f * cfa[indx + w3 + 3] - 2.f * (cfa[indx - w4 - 4] - cfa[indx + w4 + 4]) + 11.f * cfa[indx - w2 - 2]) - cfa[indx + w2 + 2] * (12.f * cfa[indx - w3 - 3] + 2.f * (cfa[indx - w4 - 4] - cfa[indx + w4 + 4]) + 11.f * cfa[indx + w2 + 2]) + cfa[indx - w3 - 3] * (2.f * cfa[indx + w3 + 3] - 6.f * cfa[indx - w4 - 4] + 10.f * cfa[indx - w3 - 3]) - cfa[indx + w3 + 3] * (6.f * cfa[indx + w4 + 4] + 10.f * cfa[indx + w3 + 3]) + cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + cfa[indx + w4 + 4] * cfa[indx + w4 + 4]); @@ -173,8 +184,8 @@ void RawImageSource::rcd_demosaic() } // Step 4.2: Populate the red and blue channels at blue and red CFA positions - for (int row = 4; row < tileSize - 4; row++) { - for (int col = 4 + (FC(row, 0) & 1), indx = row * tileSize + col, c = 2 - FC(row, col); col < tileSize - 4; col += 2, indx += 2) { + for (int row = rcdBorder - 3; row < tileRows - rcdBorder + 3; row++) { + for (int col = rcdBorder - 3 + (FC(row, rcdBorder - 1) & 1), indx = row * tileSize + col, c = 2 - FC(row, col); col < tilecols - rcdBorder + 3; col += 2, indx += 2) { // Refined P/Q diagonal local discrimination float PQ_Central_Value = PQ_Dir[indx]; @@ -205,19 +216,24 @@ void RawImageSource::rcd_demosaic() } // Step 4.3: Populate the red and blue channels at green CFA positions - for (int row = 4; row < tileSize - 4; row++) { - for (int col = 4 + (FC(row, 1) & 1), indx = row * tileSize + col; col < tileSize - 4; col += 2, indx += 2) { + for (int row = rcdBorder; row < tileRows - rcdBorder; row++) { + for (int col = rcdBorder + (FC(row, rcdBorder - 1) & 1), indx = row * tileSize + col; col < tilecols - rcdBorder; col += 2, indx += 2) { // Refined vertical and horizontal local discrimination float VH_Central_Value = VH_Dir[indx]; float VH_Neighbourhood_Value = 0.25f * ((VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1]) + (VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1])); float VH_Disc = (std::fabs(0.5f - VH_Central_Value) < std::fabs(0.5f - VH_Neighbourhood_Value)) ? VH_Neighbourhood_Value : VH_Central_Value; - float N1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx - w2]); - float S1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx + w2]); - float W1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx - 2]); - float E1 = eps + std::fabs(rgb[1][indx] - rgb[1][indx + 2]); + float rgb1 = rgb[1][indx]; + float N1 = eps + std::fabs(rgb1 - rgb[1][indx - w2]); + float S1 = eps + std::fabs(rgb1 - rgb[1][indx + w2]); + float W1 = eps + std::fabs(rgb1 - rgb[1][indx - 2]); + float E1 = eps + std::fabs(rgb1 - rgb[1][indx + 2]); + float rgb1mw1 = rgb[1][indx - w1]; + float rgb1pw1 = rgb[1][indx + w1]; + float rgb1m1 = rgb[1][indx - 1]; + float rgb1p1 = rgb[1][indx + 1]; for (int c = 0; c <= 2; c += 2) { // Cardinal gradients float SNabs = std::fabs(rgb[c][indx - w1] - rgb[c][indx + w1]); @@ -228,30 +244,45 @@ void RawImageSource::rcd_demosaic() float E_Grad = E1 + EWabs + std::fabs(rgb[c][indx + 1] - rgb[c][indx + 3]); // Cardinal colour differences - float N_Est = rgb[c][indx - w1] - rgb[1][indx - w1]; - float S_Est = rgb[c][indx + w1] - rgb[1][indx + w1]; - float W_Est = rgb[c][indx - 1] - rgb[1][indx - 1]; - float E_Est = rgb[c][indx + 1] - rgb[1][indx + 1]; + float N_Est = rgb[c][indx - w1] - rgb1mw1; + float S_Est = rgb[c][indx + w1] - rgb1pw1; + float W_Est = rgb[c][indx - 1] - rgb1m1; + float E_Est = rgb[c][indx + 1] - rgb1p1; // Vertical and horizontal estimations float V_Est = (N_Grad * S_Est + S_Grad * N_Est) / (N_Grad + S_Grad); float H_Est = (E_Grad * W_Est + W_Grad * E_Est) / (E_Grad + W_Grad); // R@G and B@G interpolation - rgb[c][indx] = rgb[1][indx] + (1.f - VH_Disc) * V_Est + VH_Disc * H_Est; + rgb[c][indx] = rgb1 + (1.f - VH_Disc) * V_Est + VH_Disc * H_Est; } } } - for (int row = rowStart + tileBorder; row < rowEnd - tileBorder; ++row) { - for (int col = colStart + tileBorder; col < colEnd - tileBorder; ++col) { + for (int row = rowStart + rcdBorder; row < rowEnd - rcdBorder; ++row) { + for (int col = colStart + rcdBorder; col < colEnd - rcdBorder; ++col) { int idx = (row - rowStart) * tileSize + col - colStart ; red[row][col] = CLIP(rgb[0][idx] * 65535.f); green[row][col] = CLIP(rgb[1][idx] * 65535.f); blue[row][col] = CLIP(rgb[2][idx] * 65535.f); } } + + if(plistener) { + progresscounter++; + if(progresscounter % 32 == 0) { +#ifdef _OPENMP + #pragma omp critical (rcdprogress) +#endif + { + progress += (double)32 * ((tileSizeN) * (tileSizeN)) / (H * W); + progress = progress > 1.0 ? 1.0 : progress; + plistener->setProgress(progress); + } + } + } + } } @@ -261,7 +292,7 @@ void RawImageSource::rcd_demosaic() free(PQ_Dir); } - border_interpolate2(width, height, 8); + border_interpolate2(W, H, rcdBorder); if (plistener) { plistener->setProgress(1); From 6767fc5ddcc4a8589fa0b6f46554d0057926ec37 Mon Sep 17 00:00:00 2001 From: heckflosse Date: Fri, 9 Mar 2018 21:39:51 +0100 Subject: [PATCH 13/27] Use Rcd instead of Amaze demosaic for fast export of Bayer files --- rtengine/simpleprocess.cc | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/rtengine/simpleprocess.cc b/rtengine/simpleprocess.cc index 9b6b4596f..155dff2f0 100644 --- a/rtengine/simpleprocess.cc +++ b/rtengine/simpleprocess.cc @@ -1523,6 +1523,11 @@ private: if (params.raw.bayersensor.method == procparams::RAWParams::BayerSensor::getMethodString(procparams::RAWParams::BayerSensor::Method::PIXELSHIFT)) { params.raw.bayersensor.method = procparams::RAWParams::BayerSensor::getMethodString(params.raw.bayersensor.pixelShiftLmmse ? procparams::RAWParams::BayerSensor::Method::LMMSE : procparams::RAWParams::BayerSensor::Method::AMAZE); } + + // Use Rcd instead of Amaze for fast export + if (params.raw.bayersensor.method == procparams::RAWParams::BayerSensor::getMethodString(procparams::RAWParams::BayerSensor::Method::AMAZE)) { + params.raw.bayersensor.method = procparams::RAWParams::BayerSensor::getMethodString(procparams::RAWParams::BayerSensor::Method::RCD); + } } private: From 073db88a9bf17a270f90db5d6db4c720eb92740c Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Sun, 11 Mar 2018 15:30:23 +0100 Subject: [PATCH 14/27] Updated release notes and splash for 5.4-rc3 --- RELEASE_NOTES.txt | 4 ++-- rtdata/images/rt_splash.svg | 10 +++++----- rtdata/images/splash.png | Bin 79266 -> 79402 bytes 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index a32134581..ea0aa078c 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -1,6 +1,6 @@ -RAWTHERAPEE 5.4-RC2 RELEASE NOTES +RAWTHERAPEE 5.4-RC3 RELEASE NOTES --------------------------------- -This is RawTherapee 5.4 Release Candidate 2, released on 2018-02-26. +This is RawTherapee 5.4 Release Candidate 3, released on 2018-03-11. Start by reading the "Getting Started" article on RawPedia: http://rawpedia.rawtherapee.com/ diff --git a/rtdata/images/rt_splash.svg b/rtdata/images/rt_splash.svg index da4791a50..962ca3b86 100644 --- a/rtdata/images/rt_splash.svg +++ b/rtdata/images/rt_splash.svg @@ -517,9 +517,9 @@ borderopacity="1.0" inkscape:pageopacity="0.0" inkscape:pageshadow="2" - inkscape:zoom="1.6106713" - inkscape:cx="282.87553" - inkscape:cy="87.101745" + inkscape:zoom="2.3468208" + inkscape:cx="276" + inkscape:cy="173" inkscape:document-units="mm" inkscape:current-layer="layer1" showgrid="false" @@ -544,7 +544,7 @@ inkscape:snap-nodes="false" inkscape:snap-global="true" inkscape:window-width="1920" - inkscape:window-height="1023" + inkscape:window-height="1019" inkscape:window-x="0" inkscape:window-y="0" inkscape:window-maximized="1"> @@ -918,7 +918,7 @@ sodipodi:role="line" x="595.29559" y="49.720543" - 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zTr=?Up=N;^$wX~UxzS=-j5FDc7~iCwy#gSVU{pWpzrMq-^G6fKv7!RKca_Y7?+_nh z%jW*6@QVK1h!&&YuTMuHm*cul%wKuH#R&;|I<-fBvL1hg`rbe}!Lmnw_1}UAg#MF0 zyvv0^qQU1Pe9CWtI#OsTcn##{S!u4wXYgh4jlmtFfIcno(=Wib=W_M<3AS0qvBui_ P4E$1%QI#&2{NVpT1}TxT From 2e9dc11440ed1beb52aa20cca99ae8b2dac680ac Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Mon, 12 Mar 2018 07:27:46 +0100 Subject: [PATCH 15/27] Use MacPorts Binutils path for macOS, #4028 --- CMakeLists.txt | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index f73cf77be..d57e18275 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -339,8 +339,13 @@ if(WITH_LTO) execute_process(COMMAND ar --version OUTPUT_VARIABLE BINUTILS_VERSION_DETECTED) string(REGEX REPLACE ".* ([0-9.]+)\n.*" "\\1" BINUTILS_VERSION_DETECTED "${BINUTILS_VERSION_DETECTED}") if("${BINUTILS_VERSION_DETECTED}" VERSION_LESS "${BINUTILS_VERSION_MININUM}") - SET(CMAKE_AR "/usr/bin/gcc-ar") - SET(CMAKE_RANLIB "/usr/bin/gcc-ranlib") + if(APPLE) + SET(CMAKE_AR "/opt/local/bin/ar") + SET(CMAKE_RANLIB "/opt/local/bin/ranlib") + else() + SET(CMAKE_AR "/usr/bin/gcc-ar") + SET(CMAKE_RANLIB "/usr/bin/gcc-ranlib") + endif() message(STATUS "Binutils version detected as less than " ${BINUTILS_VERSION_MININUM} " - setting CMake parameters to enable LTO linking:\n CMAKE_AR=\"" ${CMAKE_AR} "\"\n CMAKE_RANLIB=\"" ${CMAKE_RANLIB} "\"") endif() From 2f0fefb26f0ed94db4ecb83b4e5c4f87fad6d437 Mon Sep 17 00:00:00 2001 From: Alberto Griggio Date: Tue, 13 Mar 2018 17:57:26 +0100 Subject: [PATCH 16/27] do not reset the highlight compression slider to 0 when doing histogram matching Fixes #4437 --- rtgui/tonecurve.cc | 1 - 1 file changed, 1 deletion(-) diff --git a/rtgui/tonecurve.cc b/rtgui/tonecurve.cc index b0bd8334d..4b50c97cc 100644 --- a/rtgui/tonecurve.cc +++ b/rtgui/tonecurve.cc @@ -943,7 +943,6 @@ bool ToneCurve::histmatchingComputed() brightness->setValue(0); contrast->setValue(0); black->setValue(0); - hlcompr->setValue(0); if (!black->getAddMode()) { shcompr->set_sensitive(!((int)black->getValue() == 0)); From aef02c0c6175f62cbeefeaae293645f2307b9e87 Mon Sep 17 00:00:00 2001 From: heckflosse Date: Thu, 15 Mar 2018 19:29:58 +0100 Subject: [PATCH 17/27] Remove wrong white level for some Sony ARW2 cameras in adobe_coeff(), #4441 --- rtengine/dcraw.cc | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/rtengine/dcraw.cc b/rtengine/dcraw.cc index dfde78785..871fcf7c5 100644 --- a/rtengine/dcraw.cc +++ b/rtengine/dcraw.cc @@ -8302,13 +8302,13 @@ void CLASS adobe_coeff (const char *make, const char *model) { 6038,-1484,-579,-9145,16746,2512,-875,746,7218 } }, { "Sony DSLR-A390", 0, 0, { 6038,-1484,-579,-9145,16746,2512,-875,746,7218 } }, - { "Sony DSLR-A450", 0, 0xfeb, + { "Sony DSLR-A450", 0, 0, { 4950,-580,-103,-5228,12542,3029,-709,1435,7371 } }, - { "Sony DSLR-A580", 0, 0xfeb, + { "Sony DSLR-A580", 0, 0, { 5932,-1492,-411,-4813,12285,2856,-741,1524,6739 } }, - { "Sony DSLR-A500", 0, 0xfeb, + { "Sony DSLR-A500", 0, 0, { 6046,-1127,-278,-5574,13076,2786,-691,1419,7625 } }, - { "Sony DSLR-A5", 0, 0xfeb, + { "Sony DSLR-A5", 0, 0, { 4950,-580,-103,-5228,12542,3029,-709,1435,7371 } }, { "Sony DSLR-A700", 0, 0, { 5775,-805,-359,-8574,16295,2391,-1943,2341,7249 } }, From 6746494201eefcc331c8e646ed5d6a40f8600706 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Thu, 15 Mar 2018 22:25:42 +0100 Subject: [PATCH 18/27] Updated dual-illuminant NIKON D750 DCP --- rtdata/dcpprofiles/NIKON D750.dcp | Bin 1012990 -> 1102950 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/rtdata/dcpprofiles/NIKON D750.dcp b/rtdata/dcpprofiles/NIKON D750.dcp index 6dcef83867d3d0f9fc736125772b06f0d42f7ec8..86a676b3e66b3f9e04444d33691c371ce1cb0fb3 100644 GIT binary patch literal 1102950 zcmY&gby!s0*F{V$>~1kZ#l(Vj5IeEE5xZMtx?mV)h8Vg81d&ov5C!f51u-xPMX+kus%xcp4!?ga9-@q)U zvzgg(TL1jtdW^)(>=&)gn3>rPda>X1eERdh|MQ2g(~8zN{?ssQQSjgUc}eS*|633G zTf?kJ!GG63Ky7w|O 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ztoUspzxL>)WF|@S$xTUpnRUC7UVPq5_ELJjNj}?hRCuKKe{+m;xdW|T_lFCW#w(v{ z8}seoBYkQ4Ox{(>^Yei}Po#duQN{=OAwOaBmSu5#uq*05E-r`f<^|t&SGvQWP5|?k z>#F$b4oJ_`{my?-MIGM+st8Te+~aR=+Xw{~xbKmW4#J-(_~D4-orG`FyioO#T0%Ez z9*#jrEuo-0^4xExA=pc8i80QtguBxG=ggk(_;(Xw=O=>{-q;*=PS>5mud;v*wTlC} zIpY2Sa)$Er=v}m7^S}N1;g5VqMVgNtb!7xI%?0zOw)D=GJ?{=Z+R;q5r5tm3=#xJd zE2Q&HZV$bfGhi3eWo0sMv9urZG9}>W4oo)oTaTok**sf&m%M|$4 z>OI#uUmm_x^zbpady(YlUB7US8qlZrtMUaAV8Y*N&F6)JgTdOLT$nW0rW^N(yE6rG y#;s0?KPSysvG-Hq`%FR{NIR~?{~)-Q^C;mw+oH@_xk}t5XWUDE9=+)| Date: Thu, 15 Mar 2018 22:37:57 +0100 Subject: [PATCH 19/27] Updated release notes with HDR and PS thumb overlay mention. --- RELEASE_NOTES.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index ea0aa078c..22b6aeaf0 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -24,6 +24,7 @@ New features since 5.3: - New Local Contrast tool to boost clarity using a simple interface. - New color toning method L*a*b* Color Correction Grid. - New RCD demosaicing algorithm to minimize artifacts even with artificial lighting and strong chromatic aberration. +- New thumbnail overlay icons in the File Browser and Filmstrip to help you distinguish normal images from HDR and Pixel Shift ones. - Added support for showing out-of-gamut areas based on the output profile. - Added support for reading and writing metadata and ICC profiles to and from PNG images. - Added support for processing Sony Pixel Shift ARQ raw files - make sure that the ARQ extension is enabled in Preferences > File Browser > Parsed Extensions. From e63e583c7ed17ce2a8dc11f45b99aea09c78d71b Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Fri, 16 Mar 2018 23:45:41 +0100 Subject: [PATCH 20/27] Added SONY ILCE-7M3 to camconst.json From issue #4440 --- rtengine/camconst.json | 48 ++++++++++++++++++++++++++++++------------ 1 file changed, 35 insertions(+), 13 deletions(-) diff --git a/rtengine/camconst.json b/rtengine/camconst.json index 8709c16c7..4a294fe03 100644 --- a/rtengine/camconst.json +++ b/rtengine/camconst.json @@ -2245,12 +2245,6 @@ Camera constants: "ranges": { "black": 512, "white": 16300 } }, - { // Quality A - "make_model": "Sony ILCE-7M2", - "dcraw_matrix": [ 5271,-712,-347,-6153,13653,2763,-1601,2366,7242 ], // DNGv8.7.1 - "ranges": { "black": 512, "white": 16300 } - }, - { // Quality A, correction for frame width "make_model": "Sony ILCE-7R", "dcraw_matrix": [ 4913,-541,-202,-6130,13513,2906,-1564,2151,7183 ], @@ -2258,6 +2252,12 @@ Camera constants: "ranges": { "black": 512, "white": 16300 } }, + { // Quality A + "make_model": "Sony ILCE-7M2", + "dcraw_matrix": [ 5271,-712,-347,-6153,13653,2763,-1601,2366,7242 ], // DNGv8.7.1 + "ranges": { "black": 512, "white": 16300 } + }, + { // Quality B, correction for frame width, crop modes covered "make_model": [ "Sony ILCE-7RM2", "Sony DSC-RX1RM2" ], "dcraw_matrix": [ 6629,-1900,-483,-4618,12349,2550,-622,1381,6514 ], // DNG_v9.1.1 D65 @@ -2265,6 +2265,35 @@ Camera constants: "ranges": { "black": 512, "white": 16300 } }, + { // Quality C, color matrix copied from ILCE-9, LongExposures 2-3sec only + "make_model": "Sony ILCE-7M3", + "dcraw_matrix": [ 6389,-1703,-378,-4562,12265,2587,-670,1489,6550 ], // ILCE-9, DNG_v9.12 D65 + // "raw_crop": [ 8, 8, 6008, 4008 ], // full raw frame 6048x4024 Dcraw auto identify 6024x4024, jpeg 12,12,6000x4000 + // "ranges": { "black": 512, "white": 16300 } + "ranges": { + "black": 512, + "white": [ + { "iso": [ 50, 64 ], "levels": 16100 }, // typical compressed 16372, non compressed 16383, LongEx iso50,16150 , 16275 + { "iso": [ 80, 100, 125, 160 ], "levels": 16200 }, // typical compressed 16372, non compressed 16383, LongEx iso50,16150 , 16275 + { "iso": [ 200, 250, 320, 400, 500, 640, 800, 1000, 1250 ], "levels": 16200 }, // compressed 16372, non compressed 16383, LongExp 16275 + { "iso": [ 1600, 2000, 2500, 3200, 4000, 5000 ], "levels": 16200 }, // compressed 16372, non compressed 16383, LongExp 16275 + { "iso": [ 6400, 8000, 10000, 12800 ], "levels": 16200 }, // compressed 16372, non compressed 16365-16375-16383, LongExp 16275 + { "iso": [ 16000, 20000, 25600 ], "levels": 16100 }, // 16275-16340-16372, nc 16375-16325-16280, LongExp 16210 + { "iso": [ 32000, 40000, 51200 ], "levels": 16100 }, // 16210-16340-16372, nc 16330, LongExp 16210 + { "iso": [ 64000, 80000, 102400 ], "levels": 16100 }, // g16340 , nc 16330, LongExp 16210 + { "iso": [ 128000, 160000, 204800 ], "levels": 16000 } // r16275, g16340, nc 16330, LongExp 16330-16370 + ] + } + + }, + + { // Quality C, + "make_model": "Sony ILCE-7RM3", + "dcraw_matrix": [ 6640,-1847,-503,-5238,13010,2474,-993,1673,6527 ], // DNG_v10.1 D65 + "raw_crop": [ 0, 0, -36, 0 ], // full raw frame 8000x5320 - 36 rightmost columns are garbage + "ranges": { "black": 512, "white": 16300 } + }, + { // Quality B, color matrix copied from a7rm2 "make_model": "Sony ILCE-9", "dcraw_matrix": [ 6389,-1703,-378,-4562,12265,2587,-670,1489,6550 ], // DNG_v9.12 D65 @@ -2291,13 +2320,6 @@ Camera constants: "ranges": { "black": 800, "white": 16300 } }, - { // Quality C, - "make_model": "Sony ILCE-7RM3", - "dcraw_matrix": [ 6640,-1847,-503,-5238,13010,2474,-993,1673,6527 ], // DNG_v10.1 D65 - "raw_crop": [ 0, 0, -36, 0 ], // full raw frame 8000x5320 - 36 rightmost columns are garbage - "ranges": { "black": 512, "white": 16300 } - }, - { // Quality C, No proper color data, beta samples, frame set to official jpeg, "make_model": [ "XIAOYI M1", "YI TECHNOLOGY M1" ], "dcraw_matrix": [ 7158,-1911,-606,-3603,10669,2530,-659,1236,5530 ], // XIAO YI DNG D65 From c73844d722fac203b2aac505d20faaa9645cfea3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fl=C3=B6ssie?= Date: Sat, 17 Mar 2018 10:32:44 +0100 Subject: [PATCH 21/27] Force `memalign()` on i386 Linux when alignment < 16 (fixes #4432) --- CMakeLists.txt | 3 ++ cmake/modules/FindUnalignedMalloc.cmake | 49 +++++++++++++++++++++++++ rtgui/CMakeLists.txt | 2 + rtgui/alignedmalloc.cc | 31 ++++++++++++++++ rtgui/config.h.in | 1 + 5 files changed, 86 insertions(+) create mode 100644 cmake/modules/FindUnalignedMalloc.cmake create mode 100644 rtgui/alignedmalloc.cc diff --git a/CMakeLists.txt b/CMakeLists.txt index d57e18275..8dcf6793d 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -103,6 +103,9 @@ if(HAVE_X86_SSE_MATH) set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -msse2 -mfpmath=sse") endif() +# On i386 Linux we can fix unaligned SSE malloc (see GitHub issue #4432) +include(FindUnalignedMalloc) + if(WIN32) # Add additional paths. Look in the MinGW path first, then in the Gtkmm path. # If you wish to build some dependent libraries, you have to install them in MinGW to use them: diff --git a/cmake/modules/FindUnalignedMalloc.cmake b/cmake/modules/FindUnalignedMalloc.cmake new file mode 100644 index 000000000..4ddfb2afc --- /dev/null +++ b/cmake/modules/FindUnalignedMalloc.cmake @@ -0,0 +1,49 @@ +# This file is part of RawTherapee. +# +# Copyright (C) 2018 Flössie +# +# RawTherapee is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# RawTherapee is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with RawTherapee. If not, see . + +include(CheckCXXSourceCompiles) + +set(CMAKE_REQUIRED_QUIET_COPY "${CMAKE_REQUIRED_QUIET}") +set(CMAKE_REQUIRED_QUIET ON) + +set(TEST_SOURCE +" +#include +#include + +int main() +{ +#if defined(__SSE2__) && (defined(__i386) || defined(_M_IX86)) && defined(__linux) + static_assert(std::alignment_of::value >= 16, \"Unaligned heap objects possible\"); +#endif + + return 0; +} +") + +CHECK_CXX_SOURCE_COMPILES("${TEST_SOURCE}" HAVE_ALIGNED_MALLOC) + +if(NOT HAVE_ALIGNED_MALLOC) + set(HAVE_UNALIGNED_MALLOC 1) +else() + unset(HAVE_ALIGNED_MALLOC) +endif() + +unset(TEST_SOURCE) + +set(CMAKE_REQUIRED_QUIET "${CMAKE_REQUIRED_QUIET_COPY}") +unset(CMAKE_REQUIRED_QUIET_COPY) diff --git a/rtgui/CMakeLists.txt b/rtgui/CMakeLists.txt index 540b4d267..c39ed004c 100644 --- a/rtgui/CMakeLists.txt +++ b/rtgui/CMakeLists.txt @@ -1,5 +1,6 @@ # Common source files for both CLI and non-CLI execautables set(CLISOURCEFILES + alignedmalloc.cc edit.cc main-cli.cc multilangmgr.cc @@ -11,6 +12,7 @@ set(CLISOURCEFILES set(NONCLISOURCEFILES adjuster.cc + alignedmalloc.cc batchqueue.cc batchqueuebuttonset.cc batchqueueentry.cc diff --git a/rtgui/alignedmalloc.cc b/rtgui/alignedmalloc.cc new file mode 100644 index 000000000..91fe15a85 --- /dev/null +++ b/rtgui/alignedmalloc.cc @@ -0,0 +1,31 @@ +/* + * This file is part of RawTherapee. + * + * Copyright (C) 2018 Flössie + * + * RawTherapee is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * RawTherapee is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with RawTherapee. If not, see . + */ + +#include "config.h" + +#ifdef HAVE_UNALIGNED_MALLOC + +#include + +void* malloc(size_t size) +{ + return memalign(16, size); +} + +#endif diff --git a/rtgui/config.h.in b/rtgui/config.h.in index fdf64b73c..2d1f41dbc 100644 --- a/rtgui/config.h.in +++ b/rtgui/config.h.in @@ -21,6 +21,7 @@ #define __CONFIG_H__ #cmakedefine BUILD_BUNDLE +#cmakedefine HAVE_UNALIGNED_MALLOC #define DATA_SEARCH_PATH "${DATADIR}" #define DOC_SEARCH_PATH "${DOCDIR}" #define CREDITS_SEARCH_PATH "${CREDITSDIR}" From f00baa5739856153bee493e1b48ad700275694de Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Tue, 20 Mar 2018 01:12:46 +0100 Subject: [PATCH 22/27] Added dual-illuminant MINOLTA DYNAX 7D DCP --- rtdata/dcpprofiles/MINOLTA DYNAX 7D.dcp | Bin 0 -> 1102974 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 rtdata/dcpprofiles/MINOLTA DYNAX 7D.dcp diff --git a/rtdata/dcpprofiles/MINOLTA DYNAX 7D.dcp b/rtdata/dcpprofiles/MINOLTA DYNAX 7D.dcp new file mode 100644 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rtdata/images/rt_splash.svg | 19 +++++++++++++------ rtdata/images/splash.png | Bin 79402 -> 75712 bytes 3 files changed, 16 insertions(+), 9 deletions(-) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index 22b6aeaf0..3a6151d3c 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -1,6 +1,6 @@ -RAWTHERAPEE 5.4-RC3 RELEASE NOTES ---------------------------------- -This is RawTherapee 5.4 Release Candidate 3, released on 2018-03-11. +RAWTHERAPEE 5.4 RELEASE NOTES +----------------------------- +This is RawTherapee 5.4, released on 2018-03-20. 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z?%1PIJ1OrzV7v$fbK1}65JPVb3!n!7WZ<=MFT8r*gWxJ4B1q2-ND%Ni`2QFGr+3>7 W92hPMmyldI@JCV5w)$4y;kCyuY From a5e8eb9c8a5150e5353484c0b641acef8c926f22 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Tue, 20 Mar 2018 12:04:15 +0100 Subject: [PATCH 25/27] Formatted RELEASE_NOTES The document now looks better in the About dialog/splash screen which does not use a monospace font. --- RELEASE_NOTES.txt | 46 ++++++++++++++++++++++++++++++++-------------- 1 file changed, 32 insertions(+), 14 deletions(-) diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index 3a6151d3c..cf350d97b 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -1,12 +1,14 @@ RAWTHERAPEE 5.4 RELEASE NOTES ------------------------------ + This is RawTherapee 5.4, released on 2018-03-20. Start by reading the "Getting Started" article on RawPedia: http://rawpedia.rawtherapee.com/ -News Relevant to Photographers ------------------------------- + + +NEWS RELEVANT TO PHOTOGRAPHERS + RawTherapee supports most raw formats, including Pentax and Sony Pixel Shift, Canon Dual-Pixel, and those from Foveon and X-Trans sensors. If you're wondering whether it supports your camera's raw format, first download RawTherapee and try for yourself. If a raw format is not supported it will either not open, or the preview in the Editor tab will appear black, white, or have a strong color cast - usually magenta. In that case, read the "Adding Support for New Raw Formats" RawPedia article. @@ -47,8 +49,10 @@ RawTherapee and other open-source projects require access to sample raw files fr You can help by submitting raw files to RPU: https://raw.pixls.us/ -News Relevant to Package Maintainers ------------------------------------- + + +NEWS RELEVANT TO PACKAGE MAINTAINERS + In general: - To get the source code, either clone from git or use the tarball from http://rawtherapee.com/shared/source/ . Do not use the auto-generated GitHub release tarballs. - Requires GTK+ version >=3.16, though >=3.22.24 is recommended. @@ -58,27 +62,37 @@ In general: - For stable releases use -DCACHE_NAME_SUFFIX="" - For development builds and release-candidates use -DCACHE_NAME_SUFFIX="5-dev" -News Relevant to Developers ---------------------------- + + +NEWS RELEVANT TO DEVELOPERS + See CONTRIBUTING.md + + DOCUMENTATION -------------- -http://rawtherapee.com/blog/documentation + http://rawpedia.rawtherapee.com/ +http://rawtherapee.com/blog/documentation + + REPORTING BUGS --------------- + If you found a problem, don't keep it to yourself. Read the "How to write useful bug reports" article to get the problem fixed: http://rawpedia.rawtherapee.com/How_to_write_useful_bug_reports + + FORUM ------ + RawTherapee shares a forum with users and developers of other Free/Libre/Open Source Software: https://discuss.pixls.us/c/software/rawtherapee + + LIVE CHAT WITH USERS AND DEVELOPERS ------------------------------------ + Network: freenode Server: chat.freenode.net Channel: #rawtherapee @@ -87,12 +101,16 @@ You can use freenode webchat to communicate without installing anything: http://webchat.freenode.net/?randomnick=1&channels=rawtherapee&prompt=1 More information here: http://rawpedia.rawtherapee.com/IRC + + SOCIAL NETWORKS ---------------- + Google+ https://plus.google.com/+RawTherapee + + REVISION HISTORY ----------------- + The complete changelog is available at: https://github.com/Beep6581/RawTherapee/commits/ From 2efdfba293136da930b6bca0f9f8a446d59c46f2 Mon Sep 17 00:00:00 2001 From: Morgan Hardwood Date: Tue, 20 Mar 2018 13:54:02 +0100 Subject: [PATCH 26/27] Prepare to merge 5.4 from releases back into dev --- LICENSE.txt | 2 +- RELEASE_NOTES.txt | 40 ++++++++++++------------------------ rawtherapee.astylerc | 8 -------- rtdata/images/rt_splash.svg | 27 +++++++++++++++++++----- rtdata/images/splash.png | Bin 75712 -> 78156 bytes rtdata/languages/Czech | 1 + 6 files changed, 37 insertions(+), 41 deletions(-) delete mode 100644 rawtherapee.astylerc diff --git a/LICENSE.txt b/LICENSE.txt index 44a4cfcc8..7fb1c6515 100644 --- a/LICENSE.txt +++ b/LICENSE.txt @@ -1,6 +1,6 @@ RawTherapee - A powerful, cross-platform raw image processing program. Copyright (C) 2004-2012 Gabor Horvath - Copyright (C) 2010-2017 RawTherapee development team. + Copyright (C) 2010-2018 RawTherapee development team. RawTherapee is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by diff --git a/RELEASE_NOTES.txt b/RELEASE_NOTES.txt index cf350d97b..a041b0daf 100644 --- a/RELEASE_NOTES.txt +++ b/RELEASE_NOTES.txt @@ -1,10 +1,16 @@ -RAWTHERAPEE 5.4 RELEASE NOTES +RAWTHERAPEE 5.5-dev RELEASE NOTES -This is RawTherapee 5.4, released on 2018-03-20. +This is a development version of RawTherapee. We update the code almost daily. Every few months, once enough changes have accumulated and the code is stabilized, we make a new official release. Every code change between these releases is known as a "development" version, and this is one of them. Start by reading the "Getting Started" article on RawPedia: http://rawpedia.rawtherapee.com/ +While we only commit tested and relatively stable code and so the development versions should be fairly stable, you should be aware that: +- Development versions only had limited testing, so there may be bugs unknown to us. +- You should report these bugs so that they get fixed for the next stable release. See + www.rawpedia.rawtherapee.com/How_to_write_useful_bug_reports +- The way new tools work in the development versions is likely to change as we tweak and tune them, so your processing profiles may produce different results when used in a future stable version. +- Bugs present in the stable versions get fixed in the development versions, and make it into the next stable version when we make a new official release. That means that in some ways the development versions can be "more stable" than the latest stable release. At the same time, new features may introduce new bugs. This is a trade-off you should be aware of. NEWS RELEVANT TO PHOTOGRAPHERS @@ -19,31 +25,8 @@ In order to use RawTherapee efficiently you should know that: - All curves support the Shift and Ctrl keys while dragging a point. Shift+drag makes the point snap to a meaningful axis (top, bottom, diagonal, other), while Ctrl+drag makes your mouse movement super-fine for precise point positioning. - There are many keyboard shortcuts which make working with RawTherapee much faster and give you greater control. Make sure you familiarize yourself with them on RawPedia's "Keyboard Shortcuts" page! -New features since 5.3: -- New default processing profiles, now the default look for raw photos closely matches the out-of-camera look with regard to tones and includes lens distortion and vignetting correction. -- New histogram matching tool, to have RawTherapee automatically adjust the image for you to match the out-of-camera look with a single click of a button. -- New HDR Tone Mapping tool to compress the light in scenes with a high dynamic range, allowing you to show details in both shadows and highlights in a realistic way. -- New Local Contrast tool to boost clarity using a simple interface. -- New color toning method L*a*b* Color Correction Grid. -- New RCD demosaicing algorithm to minimize artifacts even with artificial lighting and strong chromatic aberration. -- New thumbnail overlay icons in the File Browser and Filmstrip to help you distinguish normal images from HDR and Pixel Shift ones. -- Added support for showing out-of-gamut areas based on the output profile. -- Added support for reading and writing metadata and ICC profiles to and from PNG images. -- Added support for processing Sony Pixel Shift ARQ raw files - make sure that the ARQ extension is enabled in Preferences > File Browser > Parsed Extensions. -- Create Sony ARQ raw files using https://github.com/agriggio/make_arq -- Added support for saving 32-bit floating-point TIFFs clamped to [0;1]. -- Added profiled chromatic aberration correction support using Lensfun. -- More tools now have an on/off switch. -- The user interface is cleaner, with all power-house tools moved into a new "Advanced" tab to prevent slider-shock to newcomers. -- The Metadata tab now lets you choose whether you want to copy metadata unchanged, edit metadata or strip metadata when saving images. Now you can also make metadata changes in batch mode. -- The choice of whether the main histogram should display information using the working profile or the output profile is now available from the Editor tab's top toolbar. -- The Crop tool's aspect ratio now defaults to that of the image, and RawTherapee automatically zooms-to-fit the crop once it's placed. -- RGB input-type ICC profiles can now be used as output profiles. -- The saved reference image for profiling (created from within the Color Management tool) now contains metadata. -- PNG and compressed TIFF images make use of better compression. -- Shortcut key changes: Zoom-to-fit the crop using "f", fit the whole image using "Alt+f". - -There were several hundred commits optimizing processing speed and memory usage as well as bug fixes and code refactoring, though the details of these are too arcane to list here. The effort involved thousands of developer-hours. +New features since 5.4: +- TODO. RawTherapee and other open-source projects require access to sample raw files from various camera makes and models in order to support those raw formats correctly. You can help by submitting raw files to RPU: @@ -62,6 +45,9 @@ In general: - For stable releases use -DCACHE_NAME_SUFFIX="" - For development builds and release-candidates use -DCACHE_NAME_SUFFIX="5-dev" +Changes since 5.4: +- TODO. + NEWS RELEVANT TO DEVELOPERS diff --git a/rawtherapee.astylerc b/rawtherapee.astylerc deleted file mode 100644 index 3d49d821f..000000000 --- a/rawtherapee.astylerc +++ /dev/null @@ -1,8 +0,0 @@ -style=1tbs -indent=spaces=4 -indent-switches -break-blocks -pad-oper -convert-tabs -pad-header -unpad-paren diff --git a/rtdata/images/rt_splash.svg b/rtdata/images/rt_splash.svg index e462147d9..94d9a42b1 100644 --- a/rtdata/images/rt_splash.svg +++ b/rtdata/images/rt_splash.svg @@ -517,9 +517,9 @@ borderopacity="1.0" inkscape:pageopacity="0.0" inkscape:pageshadow="2" - inkscape:zoom="1.5681835" - inkscape:cx="427.50017" - inkscape:cy="87.101745" + inkscape:zoom="1.4142136" + inkscape:cx="366.55779" + inkscape:cy="87.326779" inkscape:document-units="px" inkscape:current-layer="layer1" showgrid="false" @@ -902,7 +902,7 @@ y="2.2370076" x="283.85016" id="tspan3664" - sodipodi:role="line">. 4 + sodipodi:role="line">. 5 + + Development + Release Candidate 3 + style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:17.06666565px;line-height:110.00000238%;font-family:'ITC Eras Std';-inkscape-font-specification:'ITC Eras Std Bold';text-align:end;letter-spacing:-1.06666672px;text-anchor:end;fill:#ffffff;stroke-width:1.06666672px">Release Candidate 1 diff --git a/rtdata/images/splash.png b/rtdata/images/splash.png index addd354a13bd1460cf17c023d3629c7b90087202..f3c523b88f90d3a42eb49a5e9fdd3727a1d465ff 100644 GIT binary patch delta 33786 zcmXtfWmJ^k*S1QR)PNu*IWshZbT>nHH%NEq{R5;!=>|bMr8}g%ySp3ddhq|Qcdhv{ z-_AaBuD!3=(>@A6v;qIyxD3#AT)y$i^eSGNcwnF8OM3eivE6`>o{AlZN)q-?NRfy- zsFrxrHOgcmhJJAuqIiT$#^ea6*!m8TcOkC%)t*&|Te(x@~ggXPJD<%k-Qvm24U zVI_D|b<^5%Q*`pQ{oTt>wPm(kzb$$HBzdOrG%aPpcDh*ospvp^brra|X+kPg^IA=N zt4?qIom|r^CG`HS^;!HIcLeH3<@%|OHP9C$Yy^uKrBc=MJ}Pap0#;VmPQII^O(md) zlFZ7=s-vbw&jJN$zM+l=mjZHiIEAA(8tNQY$9;ts4SPsM9ftXDDzm>-X#LeNw!RK~;5tRHgvb(5W=cVFLe_R?% zwa@Kf^Uc!5dr;ny5Zw!{f5A!Sh-c#oEci7J1BTlAVe=;h83r`zMWjlF-wTqIG75CD ze*WBn`P@Ketv!=mIB8kK>2^Y#FQ2(HZ-ap50zkHhm2-6 z?=f|)Qv84bICanlO1uFFA0ze#=gv;5-Ok?lFYmv<$bj5w%kzstrc1B38!z6M$IFuP zax)WZFV;F#WAyAkneusV744w@AQcU&Q=Xm=#^I06GyY-3hU2g%4?7bF6p4hh`s#_5 z4+@GtghWxCUeA^CvtNQ^_^1BBu^`a|*0@ZPjzFxQkHd@5&A#4Jn&fema}WRb)ARv8NnQm99!S<-bv=Pm6S+iE z#h=mO>Eg%NB^jKcAg>!|uiQS7x3(oUG*QN+-e*E5O{e^Np8M3Kz@vkn_qo{2>}-{* zMasKd=7=jQYD^B%=#l%?aafkidMRl?Pi^Nk9WcHS9V2}_a z^bCD@dmpnGVuhv6vLxMsgWgorx zfk)=U!^6jg@~4j8}h1(~yU-^W!+&%XGlqoZMS985IEhEvhy?tS*;XZ#?d& zOi9`iRdaHfsB3Ylg`f@y^+SteK}4F&Ev{?_6^lkTAn(9&-%qZaVBJxyDq)rJvReWo z)$=nAn__?hpYEej!E`Z|PfjL&l~Zl%5G0p?fM9Jsm~3aOKi2y^T;Igjma&)-jXdI4 za$4G!Q|1F*nJWT=vsbe z*)RhymvUIxOVkqcr+|NUJjDfcpYLUYyoz?H@+w|g+!l63^{-Vm3VH3kN5H}D5HWF+ zP0X#FKAt?{Lg-#lr66gNyA*cst*CVU)0avpl2U;k4pa!|;!MJ{G&ZOG{VlN-j=*3n zgin;nhWC~s;YwlW=MJPke--tBCl@t!^~ESLs924fv8QK{1es6V`1m;8OG#AdRgJ2i z`$_STuIGnX8pww;2N*0%cRfNOlrkaVX6AdY9fFvZ8R=K!kebyt`}zg;jI0)sXXzup ze_#b%0)79!#~$;+0>zfyRMZ`!8O?S%+Sy;J|6F5q)SR9V&vBVHd(9+(dayW1v3-(I3iol_6p-V$H!ZT zC}OUT_V#vFY`oGhuPETXT?^2uxA$|}9We#AB&}qLyU{T)qVp`oBWmFar3zJwL>0d! z3BSd2+j(sGi|5%wqgvQLaZyXsQPv(RS!oLJwrY1@(;1>&TIrLu*4^ra@`c3wjGNQ7 zt|zqJrre*&Zo~Rs6Dj-@-|{y4OGp}$SaHV<(~tN!Xy)>AaX24KX_(sX5y30o;hai9 zS2PWX0WNj>9r^mO_GdC-;`H6E{yO*j{d_`F(wz*ilbwoQ(#RG`TzTI9$4B1POTN`kpPS|0wY4?8 z=s3%ofvG7F(tF~ysX}D}I9_o&id*Wt5{((*{ zk^=go?icol$pn*E9w93A+W(B5+xqdPV9`n6I97a{skNFoUJh$GHfbOE6~^i%+34u#%zS*qXJ>%DT04Wge$lj6UXgXspbu86upws`UIp4J>yKE$xpyoU zxy+xd>oR(ZG$46qJYL(*zL>f^)X#sjs36qWZz?lX-rQK%)}Dzsqh!1P_pHM(iy24S zHRq9|aog$Uy(`Qg)d1hRF)FzuBGh!5U5d6HqEVh!k0syd+Vh`@?p6hXJ^bcS`3H(VF^CmgSD~as4Oae{}wd%S^n_L>53b) zGN=@)`=?G4SBynk`jTLimmNR+{o?H@5$b|zkQFsmq3PFEJf9XT#J7odEv6#s7j3)K zF@$ON&1$d>C8H1jMnBLLHGFDAQbVBf&}aa1Q4A|ZK^1MyOlg5D4VF9>>&oxm@sR1( zOMl|dRnXHzHT*;=$5O#rBZ><`F3 zXFn`iZ2bZMu`-Ya6~~x>WS&QKCQHD$V$SGot!p;LvZPd^K<|$F;)>^6NJZVh3e^8A zZh^Wi>T&mw?0uq}*FM8nVDvK_6%^}iHRcn8IGqmk>|AQj4G;+;1S&Dct7Pf!dTi9< zmQb=}>lDZUQ2CR`>lGiON*C@<&VgVbPZx?g%&;Aev*u64FZl4?S|Tx2)mjW%7HC%J zM#`c}@Btmz_>zjWV$qEj=pVyF9RA8RtjbpWr+v0gU`*I{A+u}sZa?;CJvSGBfqL^$ zqmE;GxM|g)!)6{e%$n!lR1bE@HOV_m(4SLAcB}{J755vg0uR8VfG&AhzLZvRh}w$x zrV7qE6*UB^)u87tn56OA*kIg5)7R-IedO%PrI?IB3pGp^V;Xf{C4E~!H!QkTUK z0MuwM(;(ZSMI*9*Xb1USRV_b!zzD`XDJ7F$eJ%c{B=cf9{SE7UM)SIoJhUSHU)#_X z9%rcNZ+xX`Pq|u^sfFDpl}~vJp2g@xhwl}yn1|yLDsWd~;iQ&8K0arZS?jD*wHM&lO6n|mE8wDqH~c0GUN}2! zOAKY#45Mzjxz3lK;)%p=P~nWOqQ3^=ha1BfDdL4yeD*M-$^e+!mEd*4R~Q2dM4nv7 zu8W63u5BnJFjSbKjsF}CZPE3dylC#b!^1?My;*b^rr`v<;`*OM#L{KX0;u0!=mp7X zcZw&2k)=_bT2*wiD0XZ#b_HSuV>sB$AmDUS+$`gVR!zt4Ehi@b*_-b^kDD@ba=H!` z?AYY8%8Y3O@~;rS@l7p7NCS)}(Hw|b*m#GY_X$g6Exr(ylrl_OmKsNhQ=R9~U86=? 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obrazovce\nZkratka: Alt-f ZOOMPANEL_ZOOMIN;Přiblížit\nZkratka: + ZOOMPANEL_ZOOMOUT;Oddálit\nZkratka: - + From 56c736f106dc56d5103cc0e5cb12a594e903ad69 Mon Sep 17 00:00:00 2001 From: heckflosse Date: Tue, 20 Mar 2018 14:04:01 +0100 Subject: [PATCH 27/27] Disabled timing code in amaze and rcd demosaic --- rtengine/amaze_demosaic_RT.cc | 1 - rtengine/rcd_demosaic.cc | 1 - 2 files changed, 2 deletions(-) diff --git a/rtengine/amaze_demosaic_RT.cc b/rtengine/amaze_demosaic_RT.cc index b7789090f..4fe0bee69 100644 --- a/rtengine/amaze_demosaic_RT.cc +++ b/rtengine/amaze_demosaic_RT.cc @@ -33,7 +33,6 @@ #include "sleef.c" #include "opthelper.h" #include "median.h" -#define BENCHMARK #include "StopWatch.h" namespace rtengine diff --git a/rtengine/rcd_demosaic.cc b/rtengine/rcd_demosaic.cc index c6a80dab7..f131bc87e 100644 --- a/rtengine/rcd_demosaic.cc +++ b/rtengine/rcd_demosaic.cc @@ -22,7 +22,6 @@ #include "rt_math.h" #include "../rtgui/multilangmgr.h" #include "opthelper.h" -#define BENCHMARK #include "StopWatch.h" using namespace std;

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