merged 'rcd-demosaic' into 'dev'
This commit is contained in:
Alberto Griggio
commit
503fe902a0
@ -1788,6 +1788,7 @@ TP_RAW_PIXELSHIFTSMOOTH_TOOLTIP;Smooth transitions between areas with motion and
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TP_RAW_PIXELSHIFTSTDDEVFACTORBLUE;StdDev factor Blue
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TP_RAW_PIXELSHIFTSTDDEVFACTORGREEN;StdDev factor Green
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TP_RAW_PIXELSHIFTSTDDEVFACTORRED;StdDev factor Red
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TP_RAW_RCD;RCD
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TP_RAW_SENSOR_BAYER_LABEL;Sensor with Bayer Matrix
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TP_RAW_SENSOR_XTRANS_DMETHOD_TOOLTIP;3-pass gives best results (recommended for low ISO images).\n1-pass is almost undistinguishable from 3-pass for high ISO images and is faster.
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TP_RAW_SENSOR_XTRANS_LABEL;Sensor with X-Trans Matrix
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@ -3928,6 +3928,299 @@ void RawImageSource::cielab (const float (*rgb)[3], float* l, float* a, float *b
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}
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}
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/**
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* RATIO CORRECTED DEMOSAICING
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* Luis Sanz Rodriguez (luis.sanz.rodriguez(at)gmail(dot)com)
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*
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* Release 2.3 @ 171125
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*
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* Original code from https://github.com/LuisSR/RCD-Demosaicing
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* Licensed under the GNU GPL version 3
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*/
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void RawImageSource::rcd_demosaic()
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{
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), "rcd"));
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plistener->setProgress(0);
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}
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int width = W, height = H;
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std::vector<float> cfa(width * height);
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std::vector<std::array<float, 3>> rgb(width * height);
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 0; row < height; row++) {
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for (int col = 0, indx = row * width + col; col < width; col++, indx++) {
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int c = FC(row, col);
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cfa[indx] = rgb[indx][c] = LIM01(rawData[row][col] / 65535.f);
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}
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}
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if (plistener) {
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plistener->setProgress(0.05);
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}
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// ------------------------------------------------------------------------
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/* RT
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int row, col, indx, c;
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*/
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int w1 = width, w2 = 2 * width, w3 = 3 * width, w4 = 4 * width;
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//Tolerance to avoid dividing by zero
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static const float eps = 1e-5, epssq = 1e-10;
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/* RT
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//Gradients
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float N_Grad, E_Grad, W_Grad, S_Grad, NW_Grad, NE_Grad, SW_Grad, SE_Grad;
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//Pixel estimation
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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;
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//Directional discrimination
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//float V_Stat, H_Stat, P_Stat, Q_Stat;
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float VH_Central_Value, VH_Neighbour_Value, PQ_Central_Value, PQ_Neighbour_Value;
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*/
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float ( *VH_Dir ), ( *PQ_Dir );
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//Low pass filter
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float ( *lpf );
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/**
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* STEP 1: Find cardinal and diagonal interpolation directions
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*/
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VH_Dir = ( float ( * ) ) calloc( width * height, sizeof *VH_Dir ); //merror ( VH_Dir, "rcd_demosaicing_171117()" );
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 4; row < height - 4; row++ ) {
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for (int col = 4, indx = row * width + col; col < width - 4; col++, indx++ ) {
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//Calculate h/v local discrimination
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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]);
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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]);
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VH_Dir[indx] = V_Stat / (V_Stat + H_Stat);
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}
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}
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgress(0.2);
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}
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// -------------------------------------------------------------------------
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/**
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* STEP 2: Calculate the low pass filter
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*/
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// Step 2.1: Low pass filter incorporating green, red and blue local samples from the raw data
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lpf = ( float ( * ) ) calloc( width * height, sizeof *lpf ); //merror ( lpf, "rcd_demosaicing_171125()" );
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for ( int row = 2; row < height - 2; row++ ) {
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for ( int col = 2 + (FC( row, 0 ) & 1), indx = row * width + col; col < width - 2; col += 2, indx += 2 ) {
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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] );
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}
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}
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgress(0.4);
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}
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// ------------------------------------------------------------------------
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/**
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* STEP 3: Populate the green channel
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*/
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// Step 3.1: Populate the green channel at blue and red CFA positions
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for ( int row = 4; row < height - 4; row++ ) {
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for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * width + col; col < width - 4; col += 2, indx += 2 ) {
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// Refined vertical and horizontal local discrimination
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float VH_Central_Value = VH_Dir[indx];
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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] );
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float VH_Disc = ( fabs( 0.5f - VH_Central_Value ) < fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value;
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// Cardinal gradients
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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] );
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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] );
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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] );
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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] );
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// Cardinal pixel estimations
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float N_Est = cfa[indx - w1] * ( 1.f + ( lpf[indx] - lpf[indx - w2] ) / ( eps + lpf[indx] + lpf[indx - w2] ) );
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float S_Est = cfa[indx + w1] * ( 1.f + ( lpf[indx] - lpf[indx + w2] ) / ( eps + lpf[indx] + lpf[indx + w2] ) );
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float W_Est = cfa[indx - 1] * ( 1.f + ( lpf[indx] - lpf[indx - 2] ) / ( eps + lpf[indx] + lpf[indx - 2] ) );
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float E_Est = cfa[indx + 1] * ( 1.f + ( lpf[indx] - lpf[indx + 2] ) / ( eps + lpf[indx] + lpf[indx + 2] ) );
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// Vertical and horizontal estimations
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float V_Est = ( S_Grad * N_Est + N_Grad * S_Est ) / max(eps, N_Grad + S_Grad );
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float H_Est = ( W_Grad * E_Est + E_Grad * W_Est ) / max(eps, E_Grad + W_Grad );
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// G@B and G@R interpolation
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rgb[indx][1] = LIM( VH_Disc * H_Est + ( 1.f - VH_Disc ) * V_Est, 0.f, 1.f );
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}
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}
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free( lpf );
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgress(0.5);
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}
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// ------------------------------------------------------------------------
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/**
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* STEP 4: Populate the red and blue channels
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*/
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// Step 4.1: Calculate P/Q diagonal local discrimination
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PQ_Dir = ( float ( * ) ) calloc( width * height, sizeof *PQ_Dir ); //merror ( PQ_Dir, "rcd_demosaicing_171125()" );
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for ( int row = 4; row < height - 4; row++ ) {
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for ( int col = 4 + (FC( row, 0 ) & 1), indx = row * width + col; col < width - 4; col += 2, indx += 2 ) {
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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 );
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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 );
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PQ_Dir[indx] = P_Stat / ( P_Stat + Q_Stat );
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}
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}
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|
||||
// RT ---------------------------------------------------------------------
|
||||
if (plistener) {
|
||||
plistener->setProgress(0.7);
|
||||
}
|
||||
// -------------------------------------------------------------------------
|
||||
|
||||
// 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 ) {
|
||||
|
||||
// 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 = ( fabs( 0.5f - PQ_Central_Value ) < fabs( 0.5f - PQ_Neighbourhood_Value ) ) ? PQ_Neighbourhood_Value : PQ_Central_Value;
|
||||
|
||||
// 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] );
|
||||
|
||||
// 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 );
|
||||
|
||||
// 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 );
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
free( PQ_Dir );
|
||||
|
||||
// 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 ) {
|
||||
|
||||
// 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;
|
||||
|
||||
for ( int c = 0; c <= 2; c += 2 ) {
|
||||
|
||||
// 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];
|
||||
|
||||
// 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 );
|
||||
|
||||
// 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 );
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
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);
|
||||
}
|
||||
}
|
||||
|
||||
border_interpolate2(width, height, 4);
|
||||
|
||||
if (plistener) {
|
||||
plistener->setProgress(1);
|
||||
}
|
||||
// -------------------------------------------------------------------------
|
||||
}
|
||||
|
||||
#define fcol(row,col) xtrans[(row)%6][(col)%6]
|
||||
#define isgreen(row,col) (xtrans[(row)%3][(col)%3]&1)
|
||||
|
||||
|
||||
@ -2446,6 +2446,7 @@ const std::vector<const char*>& RAWParams::BayerSensor::getMethodStrings()
|
||||
"vng4",
|
||||
"dcb",
|
||||
"ahd",
|
||||
"rcd",
|
||||
"fast",
|
||||
"mono",
|
||||
"none",
|
||||
|
||||
@ -1180,6 +1180,7 @@ struct RAWParams {
|
||||
VNG4,
|
||||
DCB,
|
||||
AHD,
|
||||
RCD,
|
||||
FAST,
|
||||
MONO,
|
||||
NONE,
|
||||
|
||||
@ -2049,6 +2049,8 @@ void RawImageSource::demosaic(const RAWParams &raw)
|
||||
fast_demosaic();
|
||||
} else if (raw.bayersensor.method == RAWParams::BayerSensor::getMethodString(RAWParams::BayerSensor::Method::MONO) ) {
|
||||
nodemosaic(true);
|
||||
} else if (raw.bayersensor.method == RAWParams::BayerSensor::getMethodString(RAWParams::BayerSensor::Method::RCD) ) {
|
||||
rcd_demosaic ();
|
||||
} else {
|
||||
nodemosaic(false);
|
||||
}
|
||||
|
||||
@ -248,6 +248,7 @@ protected:
|
||||
void fast_demosaic();//Emil's code for fast demosaicing
|
||||
void dcb_demosaic(int iterations, bool dcb_enhance);
|
||||
void ahd_demosaic();
|
||||
void rcd_demosaic();
|
||||
void border_interpolate(unsigned int border, float (*image)[4], unsigned int start = 0, unsigned int end = 0);
|
||||
void border_interpolate2(int winw, int winh, int lborders);
|
||||
void dcb_initTileLimits(int &colMin, int &rowMin, int &colMax, int &rowMax, int x0, int y0, int border);
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user