raw ca correction: beautified code
This commit is contained in:
heckflosse
parent
becfc1a9fd
commit
09796f0694
@ -1,11 +1,11 @@
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////////////////////////////////////////////////////////////////
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//
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// Chromatic Aberration Auto-correction
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// Chromatic Aberration correction on raw bayer cfa data
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//
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// copyright (c) 2008-2010 Emil Martinec <ejmartin@uchicago.edu>
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// copyright (c) 2008-2010 Emil Martinec <ejmartin@uchicago.edu>
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// copyright (c) for improvements (speedups, iterated correction and avoid colour shift) 2018 Ingo Weyrich <heckflosse67@gmx.de>
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//
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//
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// code dated: November 26, 2010
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// code dated: September 8, 2018
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//
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// CA_correct_RT.cc is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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@ -14,14 +14,13 @@
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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//
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////////////////////////////////////////////////////////////////
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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#include "rtengine.h"
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#include "rawimagesource.h"
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@ -51,22 +50,22 @@ bool LinEqSolve(int nDim, double* pfMatr, double* pfVect, double* pfSolution)
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int i, j, k;
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for(k = 0; k < (nDim - 1); k++) { // base row of matrix
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for (k = 0; k < (nDim - 1); k++) { // base row of matrix
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// search of line with max element
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double fMaxElem = fabs( pfMatr[k * nDim + k] );
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double fMaxElem = fabs(pfMatr[k * nDim + k]);
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int m = k;
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for (i = k + 1; i < nDim; i++) {
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if(fMaxElem < fabs(pfMatr[i * nDim + k]) ) {
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if (fMaxElem < fabs(pfMatr[i * nDim + k])) {
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fMaxElem = pfMatr[i * nDim + k];
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m = i;
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}
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}
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// permutation of base line (index k) and max element line(index m)
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if(m != k) {
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for(i = k; i < nDim; i++) {
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fAcc = pfMatr[k * nDim + i];
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if (m != k) {
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for (i = k; i < nDim; i++) {
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fAcc = pfMatr[k * nDim + i];
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pfMatr[k * nDim + i] = pfMatr[m * nDim + i];
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pfMatr[m * nDim + i] = fAcc;
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}
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@ -76,16 +75,16 @@ bool LinEqSolve(int nDim, double* pfMatr, double* pfVect, double* pfSolution)
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pfVect[m] = fAcc;
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}
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if( pfMatr[k * nDim + k] == 0.) {
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if (pfMatr[k * nDim + k] == 0.) {
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//linear system has no solution
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return false; // needs improvement !!!
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}
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// triangulation of matrix with coefficients
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for(j = (k + 1); j < nDim; j++) { // current row of matrix
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for (j = (k + 1); j < nDim; j++) { // current row of matrix
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fAcc = - pfMatr[j * nDim + k] / pfMatr[k * nDim + k];
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for(i = k; i < nDim; i++) {
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for (i = k; i < nDim; i++) {
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pfMatr[j * nDim + i] = pfMatr[j * nDim + i] + fAcc * pfMatr[k * nDim + i];
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}
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@ -93,10 +92,10 @@ bool LinEqSolve(int nDim, double* pfMatr, double* pfVect, double* pfSolution)
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}
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}
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for(k = (nDim - 1); k >= 0; k--) {
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for (k = (nDim - 1); k >= 0; k--) {
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pfSolution[k] = pfVect[k];
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for(i = (k + 1); i < nDim; i++) {
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for (i = (k + 1); i < nDim; i++) {
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pfSolution[k] -= (pfMatr[k * nDim + i] * pfSolution[i]);
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}
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@ -106,8 +105,6 @@ bool LinEqSolve(int nDim, double* pfMatr, double* pfVect, double* pfSolution)
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return true;
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}
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//end of linear equation solver
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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}
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using namespace std;
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@ -118,7 +115,6 @@ float* RawImageSource::CA_correct_RT(
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size_t autoIterations,
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double cared,
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double cablue,
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double caautostrength,
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bool avoidColourshift,
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const array2D<float> &rawData,
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double* fitParamsTransfer,
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@ -132,29 +128,30 @@ float* RawImageSource::CA_correct_RT(
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// multithreaded and vectorized by Ingo Weyrich
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constexpr int ts = 128;
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constexpr int tsh = ts / 2;
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//shifts to location of vertical and diagonal neighbors
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//shifts to location of vertical and diagonal neighbours
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constexpr int v1 = ts, v2 = 2 * ts, v3 = 3 * ts, v4 = 4 * ts; //, p1=-ts+1, p2=-2*ts+2, p3=-3*ts+3, m1=ts+1, m2=2*ts+2, m3=3*ts+3;
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// Test for RGB cfa
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for(int i = 0; i < 2; i++) {
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for(int j = 0; j < 2; j++) {
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if(FC(i, j) == 3) {
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printf("CA correction supports only RGB Colour filter arrays\n");
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for (int i = 0; i < 2; i++) {
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for (int j = 0; j < 2; j++) {
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if (FC(i, j) == 3) {
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std::cout << "CA correction supports only RGB Colour filter arrays" << std::endl;
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return buffer;
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}
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}
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}
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array2D<float>* oldraw = nullptr;
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if (avoidColourshift) {
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// copy raw values before ca correction
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oldraw = new array2D<float>((W + 1) / 2, H);
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#pragma omp parallel for
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for(int i = 0; i < H; ++i) {
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for (int i = 0; i < H; ++i) {
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int j = FC(i, 0) & 1;
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for(; j < W - 1; j += 2) {
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for (; j < W - 1; j += 2) {
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(*oldraw)[i][j / 2] = rawData[i][j];
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}
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if(j < W) {
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if (j < W) {
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(*oldraw)[i][j / 2] = rawData[i][j];
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}
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}
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@ -162,7 +159,7 @@ float* RawImageSource::CA_correct_RT(
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double progress = 0.0;
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if(plistener) {
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if (plistener) {
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plistener->setProgress (progress);
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}
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@ -180,11 +177,11 @@ float* RawImageSource::CA_correct_RT(
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if (!buffer) {
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buffer = static_cast<float*>(malloc ((height * width + vblsz * hblsz * (2 * 2 + 1)) * sizeof(float)));
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}
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float *Gtmp = buffer;
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float *RawDataTmp = buffer + (height * width) / 2;
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float* Gtmp = buffer;
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float* RawDataTmp = buffer + (height * width) / 2;
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//block CA shift values and weight assigned to block
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float *const blockwt = buffer + (height * width);
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float* const blockwt = buffer + (height * width);
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memset(blockwt, 0, vblsz * hblsz * (2 * 2 + 1) * sizeof(float));
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float (*blockshifts)[2][2] = (float (*)[2][2])(blockwt + vblsz * hblsz);
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@ -198,12 +195,12 @@ float* RawImageSource::CA_correct_RT(
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: 1;
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const bool fitParamsSet = fitParamsTransfer && fitParamsIn && iterations < 2;
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if(autoCA && fitParamsSet) {
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if (autoCA && fitParamsSet) {
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// use stored parameters
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int index = 0;
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for(int c = 0; c < 2; ++c) {
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for(int d = 0; d < 2; ++d) {
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for(int e = 0; e < 16; ++e) {
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for (int c = 0; c < 2; ++c) {
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for (int d = 0; d < 2; ++d) {
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for (int e = 0; e < 16; ++e) {
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fitparams[c][d][e] = fitParamsTransfer[index++];
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}
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}
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@ -232,36 +229,37 @@ float* RawImageSource::CA_correct_RT(
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//polynomial fit coefficients
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//residual CA shift amount within a plaquette
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float shifthfrac[3], shiftvfrac[3];
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float shifthfrac[3], shiftvfrac[3];
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// assign working space
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constexpr int buffersize = sizeof(float) * ts * ts + 8 * sizeof(float) * ts * tsh + 8 * 64 + 63;
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constexpr int buffersizePassTwo = sizeof(float) * ts * ts + 4 * sizeof(float) * ts * tsh + 4 * 64 + 63;
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char * const bufferThr = (char *) malloc((autoCA && !fitParamsSet) ? buffersize : buffersizePassTwo);
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char * const data = (char*)( ( uintptr_t(bufferThr) + uintptr_t(63)) / 64 * 64);
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char * const data = (char*)((uintptr_t(bufferThr) + uintptr_t(63)) / 64 * 64);
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// shift the beginning of all arrays but the first by 64 bytes to avoid cache miss conflicts on CPUs which have <= 4-way associative L1-Cache
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//rgb data in a tile
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float* rgb[3];
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rgb[0] = (float (*)) data;
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rgb[1] = (float (*)) (data + sizeof(float) * ts * tsh + 1 * 64);
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rgb[2] = (float (*)) (data + sizeof(float) * (ts * ts + ts * tsh) + 2 * 64);
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rgb[0] = (float*) data;
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rgb[1] = (float*) (data + sizeof(float) * ts * tsh + 1 * 64);
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rgb[2] = (float*) (data + sizeof(float) * (ts * ts + ts * tsh) + 2 * 64);
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if (autoCA && !fitParamsSet) {
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constexpr float caAutostrength = 8.f;
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//high pass filter for R/B in vertical direction
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float *rbhpfh = (float (*)) (data + 2 * sizeof(float) * ts * ts + 3 * 64);
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float* rbhpfh = (float*) (data + 2 * sizeof(float) * ts * ts + 3 * 64);
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//high pass filter for R/B in horizontal direction
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float *rbhpfv = (float (*)) (data + 2 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 4 * 64);
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float* rbhpfv = (float*) (data + 2 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 4 * 64);
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//low pass filter for R/B in horizontal direction
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float *rblpfh = (float (*)) (data + 3 * sizeof(float) * ts * ts + 5 * 64);
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float* rblpfh = (float*) (data + 3 * sizeof(float) * ts * ts + 5 * 64);
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//low pass filter for R/B in vertical direction
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float *rblpfv = (float (*)) (data + 3 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 6 * 64);
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float* rblpfv = (float*) (data + 3 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 6 * 64);
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//low pass filter for colour differences in horizontal direction
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float *grblpfh = (float (*)) (data + 4 * sizeof(float) * ts * ts + 7 * 64);
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float* grblpfh = (float*) (data + 4 * sizeof(float) * ts * ts + 7 * 64);
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//low pass filter for colour differences in vertical direction
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float *grblpfv = (float (*)) (data + 4 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 8 * 64);
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float* grblpfv = (float*) (data + 4 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 8 * 64);
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// Main algorithm: Tile loop calculating correction parameters per tile
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//local quadratic fit to shift data within a tile
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@ -270,14 +268,16 @@ float* RawImageSource::CA_correct_RT(
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float CAshift[2][2];
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//per thread data for evaluation of block CA shift variance
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float blockavethr[2][2] = {{0, 0}, {0, 0}}, blocksqavethr[2][2] = {{0, 0}, {0, 0}}, blockdenomthr[2][2] = {{0, 0}, {0, 0}};
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float blockavethr[2][2] = {};
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float blocksqavethr[2][2] = {};
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float blockdenomthr[2][2] = {};
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#pragma omp for collapse(2) schedule(dynamic) nowait
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for (int top = -border ; top < height; top += ts - border2)
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for (int top = -border ; top < height; top += ts - border2) {
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for (int left = -border; left < width - (W & 1); left += ts - border2) {
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memset(bufferThr, 0, buffersize);
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const int vblock = ((top + border) / (ts - border2)) + 1;
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const int hblock = ((left + border) / (ts - border2)) + 1;
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const int vblock = (top + border) / (ts - border2) + 1;
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const int hblock = (left + border) / (ts - border2) + 1;
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const int bottom = min(top + ts, height + border);
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const int right = min(left + ts, width - (W & 1) + border);
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const int rr1 = bottom - top;
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@ -301,7 +301,7 @@ float* RawImageSource::CA_correct_RT(
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int col = cc + left;
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#ifdef __SSE2__
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int c0 = FC(rr, cc);
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if(c0 == 1) {
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if (c0 == 1) {
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rgb[c0][rr * ts + cc] = rawData[row][col] / 65535.f;
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cc++;
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col++;
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@ -311,7 +311,7 @@ float* RawImageSource::CA_correct_RT(
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for (; cc < ccmax - 7; cc+=8, col+=8, indx1 += 8) {
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vfloat val1 = LVFU(rawData[row][col]) / c65535v;
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vfloat val2 = LVFU(rawData[row][col + 4]) / c65535v;
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vfloat nonGreenv = _mm_shuffle_ps(val1,val2,_MM_SHUFFLE( 2,0,2,0 ));
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vfloat nonGreenv = _mm_shuffle_ps(val1,val2,_MM_SHUFFLE(2,0,2,0));
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STVFU(rgb[c0][indx1 >> 1], nonGreenv);
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STVFU(rgb[1][indx1], val1);
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STVFU(rgb[1][indx1 + 4], val2);
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@ -324,78 +324,83 @@ float* RawImageSource::CA_correct_RT(
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}
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}
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// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//fill borders
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if (rrmin > 0) {
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for (int rr = 0; rr < border; rr++)
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for (int rr = 0; rr < border; rr++) {
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for (int cc = ccmin; cc < ccmax; cc++) {
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int c = FC(rr, cc);
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rgb[c][(rr * ts + cc) >> ((c & 1) ^ 1)] = rgb[c][((border2 - rr) * ts + cc) >> ((c & 1) ^ 1)];
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}
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}
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}
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if (rrmax < rr1) {
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for (int rr = 0; rr < border; rr++)
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for (int rr = 0; rr < border; rr++) {
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for (int cc = ccmin; cc < ccmax; cc++) {
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int c = FC(rr, cc);
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rgb[c][((rrmax + rr)*ts + cc) >> ((c & 1) ^ 1)] = rawData[(height - rr - 2)][left + cc] / 65535.f;
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}
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}
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}
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if (ccmin > 0) {
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for (int rr = rrmin; rr < rrmax; rr++)
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for (int rr = rrmin; rr < rrmax; rr++) {
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for (int cc = 0; cc < border; cc++) {
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int c = FC(rr, cc);
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rgb[c][(rr * ts + cc) >> ((c & 1) ^ 1)] = rgb[c][(rr * ts + border2 - cc) >> ((c & 1) ^ 1)];
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}
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}
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}
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if (ccmax < cc1) {
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for (int rr = rrmin; rr < rrmax; rr++)
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for (int rr = rrmin; rr < rrmax; rr++) {
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for (int cc = 0; cc < border; cc++) {
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int c = FC(rr, cc);
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rgb[c][(rr * ts + ccmax + cc) >> ((c & 1) ^ 1)] = rawData[(top + rr)][(width - cc - 2)] / 65535.f;
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}
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}
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}
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//also, fill the image corners
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if (rrmin > 0 && ccmin > 0) {
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for (int rr = 0; rr < border; rr++)
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for (int rr = 0; rr < border; rr++) {
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for (int cc = 0; cc < border; cc++) {
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int c = FC(rr, cc);
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rgb[c][(rr * ts + cc) >> ((c & 1) ^ 1)] = rawData[border2 - rr][border2 - cc] / 65535.f;
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}
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}
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}
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if (rrmax < rr1 && ccmax < cc1) {
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for (int rr = 0; rr < border; rr++)
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for (int rr = 0; rr < border; rr++) {
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for (int cc = 0; cc < border; cc++) {
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int c = FC(rr, cc);
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rgb[c][((rrmax + rr)*ts + ccmax + cc) >> ((c & 1) ^ 1)] = rawData[(height - rr - 2)][(width - cc - 2)] / 65535.f;
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}
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}
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}
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if (rrmin > 0 && ccmax < cc1) {
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for (int rr = 0; rr < border; rr++)
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for (int rr = 0; rr < border; rr++) {
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for (int cc = 0; cc < border; cc++) {
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int c = FC(rr, cc);
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rgb[c][(rr * ts + ccmax + cc) >> ((c & 1) ^ 1)] = rawData[(border2 - rr)][(width - cc - 2)] / 65535.f;
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}
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}
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}
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if (rrmax < rr1 && ccmin > 0) {
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for (int rr = 0; rr < border; rr++)
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for (int rr = 0; rr < border; rr++) {
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for (int cc = 0; cc < border; cc++) {
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int c = FC(rr, cc);
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rgb[c][((rrmax + rr)*ts + cc) >> ((c & 1) ^ 1)] = rawData[(height - rr - 2)][(border2 - cc)] / 65535.f;
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}
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}
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}
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//end of border fill
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// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//end of initialization
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#ifdef __SSE2__
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vfloat onev = F2V(1.f);
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vfloat epsv = F2V(eps);
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@ -441,17 +446,16 @@ float* RawImageSource::CA_correct_RT(
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int col = max(left + 3, 0) + offset;
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int indx = rr * ts + 3 - (left < 0 ? (left+3) : 0) + offset;
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#ifdef __SSE2__
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for(; col < min(cc1 + left - 3, width) - 7; col+=8, indx+=8) {
|
||||
for (; col < min(cc1 + left - 3, width) - 7; col+=8, indx+=8) {
|
||||
STVFU(Gtmp[(row * width + col) >> 1], LC2VFU(rgb[1][indx]));
|
||||
}
|
||||
#endif
|
||||
for(; col < min(cc1 + left - 3, width); col+=2, indx+=2) {
|
||||
for (; col < min(cc1 + left - 3, width); col+=2, indx+=2) {
|
||||
Gtmp[(row * width + col) >> 1] = rgb[1][indx];
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
#ifdef __SSE2__
|
||||
vfloat zd25v = F2V(0.25f);
|
||||
#endif
|
||||
@ -486,7 +490,6 @@ float* RawImageSource::CA_correct_RT(
|
||||
STVFU(grblpfv[indx >> 1], zd25v * (glpfvv + (rgbcv + LVFU(rgb[c][(indx + v2) >> 1]) + LVFU(rgb[c][(indx - v2) >> 1]))));
|
||||
STVFU(grblpfh[indx >> 1], zd25v * (glpfhv + (rgbcv + LVFU(rgb[c][(indx + 2) >> 1]) + LVFU(rgb[c][(indx - 2) >> 1]))));
|
||||
}
|
||||
|
||||
#endif
|
||||
for (; cc < cc1 - 4; cc += 2, indx += 2) {
|
||||
rbhpfv[indx >> 1] = fabsf(fabsf((rgb[1][indx] - rgb[c][indx >> 1]) - (rgb[1][indx + v4] - rgb[c][(indx + v4) >> 1])) +
|
||||
@ -534,7 +537,6 @@ float* RawImageSource::CA_correct_RT(
|
||||
vfloat coeff11v = ZEROV;
|
||||
vfloat coeff12v = ZEROV;
|
||||
for (; cc < cc1 - 14; cc += 8, indx += 8) {
|
||||
|
||||
//in linear interpolation, colour differences are a quadratic function of interpolation position;
|
||||
//solve for the interpolation position that minimizes colour difference variance over the tile
|
||||
|
||||
@ -569,7 +571,6 @@ float* RawImageSource::CA_correct_RT(
|
||||
|
||||
#endif
|
||||
for (; cc < cc1 - 8; cc += 2, indx += 2) {
|
||||
|
||||
//in linear interpolation, colour differences are a quadratic function of interpolation position;
|
||||
//solve for the interpolation position that minimizes colour difference variance over the tile
|
||||
|
||||
@ -577,7 +578,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
float gdiff = (rgb[1][indx + ts] - rgb[1][indx - ts]) + 0.3f * (rgb[1][indx + ts + 1] - rgb[1][indx - ts + 1] + rgb[1][indx + ts - 1] - rgb[1][indx - ts - 1]);
|
||||
float deltgrb = (rgb[c][indx >> 1] - rgb[1][indx]);
|
||||
|
||||
float gradwt = (rbhpfv[indx >> 1] + 0.5f * (rbhpfv[(indx >> 1) + 1] + rbhpfv[(indx >> 1) - 1]) ) * (grblpfv[(indx >> 1) - v1] + grblpfv[(indx >> 1) + v1]) / (eps + 0.1f * (grblpfv[(indx >> 1) - v1] + grblpfv[(indx >> 1) + v1]) + rblpfv[(indx >> 1) - v1] + rblpfv[(indx >> 1) + v1]);
|
||||
float gradwt = (rbhpfv[indx >> 1] + 0.5f * (rbhpfv[(indx >> 1) + 1] + rbhpfv[(indx >> 1) - 1])) * (grblpfv[(indx >> 1) - v1] + grblpfv[(indx >> 1) + v1]) / (eps + 0.1f * (grblpfv[(indx >> 1) - v1] + grblpfv[(indx >> 1) + v1]) + rblpfv[(indx >> 1) - v1] + rblpfv[(indx >> 1) + v1]);
|
||||
|
||||
coeff[0][0][c>>1] += gradwt * deltgrb * deltgrb;
|
||||
coeff[0][1][c>>1] += gradwt * gdiff * deltgrb;
|
||||
@ -586,7 +587,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
//horizontal
|
||||
gdiff = (rgb[1][indx + 1] - rgb[1][indx - 1]) + 0.3f * (rgb[1][indx + 1 + ts] - rgb[1][indx - 1 + ts] + rgb[1][indx + 1 - ts] - rgb[1][indx - 1 - ts]);
|
||||
|
||||
gradwt = (rbhpfh[indx >> 1] + 0.5f * (rbhpfh[(indx >> 1) + v1] + rbhpfh[(indx >> 1) - v1]) ) * (grblpfh[(indx >> 1) - 1] + grblpfh[(indx >> 1) + 1]) / (eps + 0.1f * (grblpfh[(indx >> 1) - 1] + grblpfh[(indx >> 1) + 1]) + rblpfh[(indx >> 1) - 1] + rblpfh[(indx >> 1) + 1]);
|
||||
gradwt = (rbhpfh[indx >> 1] + 0.5f * (rbhpfh[(indx >> 1) + v1] + rbhpfh[(indx >> 1) - v1])) * (grblpfh[(indx >> 1) - 1] + grblpfh[(indx >> 1) + 1]) / (eps + 0.1f * (grblpfh[(indx >> 1) - 1] + grblpfh[(indx >> 1) + 1]) + rblpfh[(indx >> 1) - 1] + rblpfh[(indx >> 1) + 1]);
|
||||
|
||||
coeff[1][0][c>>1] += gradwt * deltgrb * deltgrb;
|
||||
coeff[1][1][c>>1] += gradwt * gdiff * deltgrb;
|
||||
@ -603,9 +604,9 @@ float* RawImageSource::CA_correct_RT(
|
||||
for (int k = 0; k < 3; k++) {
|
||||
for (int c = 0; c < 2; c++) {
|
||||
coeff[dir][k][c] *= 0.25f;
|
||||
if(k == 1) {
|
||||
if (k == 1) {
|
||||
coeff[dir][k][c] *= 0.3125f;
|
||||
} else if(k == 2) {
|
||||
} else if (k == 2) {
|
||||
coeff[dir][k][c] *= SQR(0.3125f);
|
||||
}
|
||||
}
|
||||
@ -637,33 +638,33 @@ float* RawImageSource::CA_correct_RT(
|
||||
}
|
||||
//evaluate the shifts to the location that minimizes CA within the tile
|
||||
blockshifts[vblock * hblsz + hblock][c][dir] = CAshift[dir][c]; //vert/hor CA shift for R/B
|
||||
|
||||
}//vert/hor
|
||||
}//colour
|
||||
|
||||
if(plistener) {
|
||||
if (plistener) {
|
||||
progresscounter++;
|
||||
|
||||
if(progresscounter % 8 == 0)
|
||||
if (progresscounter % 8 == 0) {
|
||||
#pragma omp critical (cadetectpass1)
|
||||
{
|
||||
progress += 4.0 * SQR(ts - border2) / (iterations * height * width);
|
||||
progress = std::min(progress, 1.0);
|
||||
plistener->setProgress(progress);
|
||||
{
|
||||
progress += 4.0 * SQR(ts - border2) / (iterations * height * width);
|
||||
progress = std::min(progress, 1.0);
|
||||
plistener->setProgress(progress);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
//end of diagnostic pass
|
||||
#pragma omp critical (cadetectpass2)
|
||||
{
|
||||
for (int dir = 0; dir < 2; dir++)
|
||||
for (int dir = 0; dir < 2; dir++) {
|
||||
for (int c = 0; c < 2; c++) {
|
||||
blockdenom[dir][c] += blockdenomthr[dir][c];
|
||||
blocksqave[dir][c] += blocksqavethr[dir][c];
|
||||
blockave[dir][c] += blockavethr[dir][c];
|
||||
}
|
||||
}
|
||||
}
|
||||
#pragma omp barrier
|
||||
|
||||
@ -675,16 +676,14 @@ float* RawImageSource::CA_correct_RT(
|
||||
blockvar[dir][c] = blocksqave[dir][c] / blockdenom[dir][c] - SQR(blockave[dir][c] / blockdenom[dir][c]);
|
||||
} else {
|
||||
processpasstwo = false;
|
||||
printf ("blockdenom vanishes \n");
|
||||
std::cout << "blockdenom vanishes" << std::endl;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
//now prepare for CA correction pass
|
||||
//first, fill border blocks of blockshift array
|
||||
if(processpasstwo) {
|
||||
if (processpasstwo) {
|
||||
for (int vblock = 1; vblock < vblsz - 1; vblock++) { //left and right sides
|
||||
for (int c = 0; c < 2; c++) {
|
||||
for (int i = 0; i < 2; i++) {
|
||||
@ -718,7 +717,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
|
||||
int numblox[2] = {0, 0};
|
||||
|
||||
for (int vblock = 1; vblock < vblsz - 1; vblock++)
|
||||
for (int vblock = 1; vblock < vblsz - 1; vblock++) {
|
||||
for (int hblock = 1; hblock < hblsz - 1; hblock++) {
|
||||
// block 3x3 median of blockshifts for robustness
|
||||
for (int c = 0; c < 2; c ++) {
|
||||
@ -739,8 +738,8 @@ float* RawImageSource::CA_correct_RT(
|
||||
bstemp[dir] = median(p);
|
||||
}
|
||||
|
||||
//now prepare coefficient matrix; use only data points within caautostrength/2 std devs of zero
|
||||
if (SQR(bstemp[0]) > caautostrength * blockvar[0][c] || SQR(bstemp[1]) > caautostrength * blockvar[1][c]) {
|
||||
//now prepare coefficient matrix; use only data points within caAutostrength/2 std devs of zero
|
||||
if (SQR(bstemp[0]) > caAutostrength * blockvar[0][c] || SQR(bstemp[1]) > caAutostrength * blockvar[1][c]) {
|
||||
continue;
|
||||
}
|
||||
|
||||
@ -768,7 +767,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
}//dir
|
||||
}//c
|
||||
}//blocks
|
||||
|
||||
}
|
||||
numblox[1] = min(numblox[0], numblox[1]);
|
||||
|
||||
//if too few data points, restrict the order of the fit to linear
|
||||
@ -777,24 +776,23 @@ float* RawImageSource::CA_correct_RT(
|
||||
numpar = 4;
|
||||
|
||||
if (numblox[1] < 10) {
|
||||
|
||||
printf ("numblox = %d \n", numblox[1]);
|
||||
std::cout << "numblox = " << numblox[1] << std::endl;
|
||||
processpasstwo = false;
|
||||
}
|
||||
}
|
||||
|
||||
if(processpasstwo)
|
||||
|
||||
if (processpasstwo) {
|
||||
//fit parameters to blockshifts
|
||||
for (int c = 0; c < 2; c++)
|
||||
for (int c = 0; c < 2; c++) {
|
||||
for (int dir = 0; dir < 2; dir++) {
|
||||
if (!LinEqSolve(numpar, polymat[c][dir], shiftmat[c][dir], fitparams[c][dir])) {
|
||||
printf("CA correction pass failed -- can't solve linear equations for colour %d direction %d...\n", c, dir);
|
||||
std::cout << "CA correction pass failed -- can't solve linear equations for colour %d direction " << c << std::endl;
|
||||
processpasstwo = false;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//fitparams[polyord*i+j] gives the coefficients of (vblock^i hblock^j) in a polynomial fit for i,j<=4
|
||||
}
|
||||
//end of initialization for CA correction pass
|
||||
@ -802,13 +800,13 @@ float* RawImageSource::CA_correct_RT(
|
||||
}
|
||||
|
||||
// Main algorithm: Tile loop
|
||||
if(processpasstwo) {
|
||||
float *grbdiff = (float (*)) (data + 2 * sizeof(float) * ts * ts + 3 * 64); // there is no overlap in buffer usage => share
|
||||
if (processpasstwo) {
|
||||
float* grbdiff = (float (*)) (data + 2 * sizeof(float) * ts * ts + 3 * 64); // there is no overlap in buffer usage => share
|
||||
//green interpolated to optical sample points for R/B
|
||||
float *gshift = (float (*)) (data + 2 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 4 * 64); // there is no overlap in buffer usage => share
|
||||
float* gshift = (float (*)) (data + 2 * sizeof(float) * ts * ts + sizeof(float) * ts * tsh + 4 * 64); // there is no overlap in buffer usage => share
|
||||
#pragma omp for schedule(dynamic) collapse(2) nowait
|
||||
|
||||
for (int top = -border; top < height; top += ts - border2)
|
||||
for (int top = -border; top < height; top += ts - border2) {
|
||||
for (int left = -border; left < width - (W & 1); left += ts - border2) {
|
||||
memset(bufferThr, 0, buffersizePassTwo);
|
||||
float lblockshifts[2][2];
|
||||
@ -840,7 +838,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
int indx1 = rr * ts + cc;
|
||||
#ifdef __SSE2__
|
||||
int c = FC(rr, cc);
|
||||
if(c & 1) {
|
||||
if (c & 1) {
|
||||
rgb[1][indx1] = rawData[row][col] / 65535.f;
|
||||
indx++;
|
||||
indx1++;
|
||||
@ -866,19 +864,20 @@ float* RawImageSource::CA_correct_RT(
|
||||
}
|
||||
}
|
||||
}
|
||||
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
//fill borders
|
||||
if (rrmin > 0) {
|
||||
for (int rr = 0; rr < border; rr++)
|
||||
for (int rr = 0; rr < border; rr++) {
|
||||
for (int cc = ccmin; cc < ccmax; cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][(rr * ts + cc) >> ((c & 1) ^ 1)] = rgb[c][((border2 - rr) * ts + cc) >> ((c & 1) ^ 1)];
|
||||
rgb[1][rr * ts + cc] = rgb[1][(border2 - rr) * ts + cc];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (rrmax < rr1) {
|
||||
for (int rr = 0; rr < std::min(border, rr1 - rrmax); rr++)
|
||||
for (int rr = 0; rr < std::min(border, rr1 - rrmax); rr++) {
|
||||
for (int cc = ccmin; cc < ccmax; cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][((rrmax + rr)*ts + cc) >> ((c & 1) ^ 1)] = (rawData[(height - rr - 2)][left + cc]) / 65535.f;
|
||||
@ -886,19 +885,21 @@ float* RawImageSource::CA_correct_RT(
|
||||
rgb[1][(rrmax + rr)*ts + cc] = Gtmp[((height - rr - 2) * width + left + cc) >> 1];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (ccmin > 0) {
|
||||
for (int rr = rrmin; rr < rrmax; rr++)
|
||||
for (int rr = rrmin; rr < rrmax; rr++) {
|
||||
for (int cc = 0; cc < border; cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][(rr * ts + cc) >> ((c & 1) ^ 1)] = rgb[c][(rr * ts + border2 - cc) >> ((c & 1) ^ 1)];
|
||||
rgb[1][rr * ts + cc] = rgb[1][rr * ts + border2 - cc];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (ccmax < cc1) {
|
||||
for (int rr = rrmin; rr < rrmax; rr++)
|
||||
for (int rr = rrmin; rr < rrmax; rr++) {
|
||||
for (int cc = 0; cc < std::min(border, cc1 - ccmax); cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][(rr * ts + ccmax + cc) >> ((c & 1) ^ 1)] = (rawData[(top + rr)][(width - cc - 2)]) / 65535.f;
|
||||
@ -906,11 +907,12 @@ float* RawImageSource::CA_correct_RT(
|
||||
rgb[1][rr * ts + ccmax + cc] = Gtmp[((top + rr) * width + (width - cc - 2)) >> 1];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//also, fill the image corners
|
||||
if (rrmin > 0 && ccmin > 0) {
|
||||
for (int rr = 0; rr < border; rr++)
|
||||
for (int rr = 0; rr < border; rr++) {
|
||||
for (int cc = 0; cc < border; cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][(rr * ts + cc) >> ((c & 1) ^ 1)] = (rawData[border2 - rr][border2 - cc]) / 65535.f;
|
||||
@ -918,10 +920,11 @@ float* RawImageSource::CA_correct_RT(
|
||||
rgb[1][rr * ts + cc] = Gtmp[((border2 - rr) * width + border2 - cc) >> 1];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (rrmax < rr1 && ccmax < cc1) {
|
||||
for (int rr = 0; rr < std::min(border, rr1 - rrmax); rr++)
|
||||
for (int rr = 0; rr < std::min(border, rr1 - rrmax); rr++) {
|
||||
for (int cc = 0; cc < std::min(border, cc1 - ccmax); cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][((rrmax + rr)*ts + ccmax + cc) >> ((c & 1) ^ 1)] = (rawData[(height - rr - 2)][(width - cc - 2)]) / 65535.f;
|
||||
@ -929,10 +932,11 @@ float* RawImageSource::CA_correct_RT(
|
||||
rgb[1][(rrmax + rr)*ts + ccmax + cc] = Gtmp[((height - rr - 2) * width + (width - cc - 2)) >> 1];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (rrmin > 0 && ccmax < cc1) {
|
||||
for (int rr = 0; rr < border; rr++)
|
||||
for (int rr = 0; rr < border; rr++) {
|
||||
for (int cc = 0; cc < std::min(border, cc1 - ccmax); cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][(rr * ts + ccmax + cc) >> ((c & 1) ^ 1)] = (rawData[(border2 - rr)][(width - cc - 2)]) / 65535.f;
|
||||
@ -940,10 +944,11 @@ float* RawImageSource::CA_correct_RT(
|
||||
rgb[1][rr * ts + ccmax + cc] = Gtmp[((border2 - rr) * width + (width - cc - 2)) >> 1];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (rrmax < rr1 && ccmin > 0) {
|
||||
for (int rr = 0; rr < std::min(border, rr1 - rrmax); rr++)
|
||||
for (int rr = 0; rr < std::min(border, rr1 - rrmax); rr++) {
|
||||
for (int cc = 0; cc < border; cc++) {
|
||||
int c = FC(rr, cc);
|
||||
rgb[c][((rrmax + rr)*ts + cc) >> ((c & 1) ^ 1)] = (rawData[(height - rr - 2)][(border2 - cc)]) / 65535.f;
|
||||
@ -951,17 +956,16 @@ float* RawImageSource::CA_correct_RT(
|
||||
rgb[1][(rrmax + rr)*ts + cc] = Gtmp[((height - rr - 2) * width + (border2 - cc)) >> 1];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//end of border fill
|
||||
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
if (!autoCA || fitParamsIn) {
|
||||
#ifdef __SSE2__
|
||||
const vfloat onev = F2V(1.f);
|
||||
const vfloat epsv = F2V(eps);
|
||||
#endif
|
||||
|
||||
//manual CA correction; use red/blue slider values to set CA shift parameters
|
||||
for (int rr = 3; rr < rr1 - 3; rr++) {
|
||||
int cc = 3 + FC(rr, 1), c = FC(rr,cc), indx = rr * ts + cc;
|
||||
@ -991,6 +995,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!autoCA) {
|
||||
float hfrac = -((float)(hblock - 0.5) / (hblsz - 2) - 0.5);
|
||||
float vfrac = -((float)(vblock - 0.5) / (vblsz - 2) - 0.5) * height / width;
|
||||
@ -1035,7 +1040,6 @@ float* RawImageSource::CA_correct_RT(
|
||||
|
||||
GRBdir[0][c] = lblockshifts[c>>1][0] > 0 ? 2 : -2;
|
||||
GRBdir[1][c] = lblockshifts[c>>1][1] > 0 ? 2 : -2;
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -1109,7 +1113,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
vfloat rinv = LC2VFU(rgb[1][indx]);
|
||||
vfloat RBint = rinv - grbdiffint;
|
||||
vmask cmask = vmaskf_ge(vabsf(RBint - cinv), zd25v * (RBint + cinv));
|
||||
if(_mm_movemask_ps((vfloat)cmask)) {
|
||||
if (_mm_movemask_ps((vfloat)cmask)) {
|
||||
// if for any of the 4 pixels the condition is true, do the math for all 4 pixels and mask the unused out at the end
|
||||
//gradient weights using difference from G at CA shift points and G at grid points
|
||||
vfloat p0 = onev / (epsv + vabsf(rinv - LVFU(gshift[indx >> 1])));
|
||||
@ -1141,7 +1145,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
float RBint = rgb[1][indx] - grbdiffint;
|
||||
|
||||
if (fabsf(RBint - rgb[c][indx >> 1]) < 0.25f * (RBint + rgb[c][indx >> 1])) {
|
||||
if (fabsf(grbdiffold) > fabsf(grbdiffint) ) {
|
||||
if (fabsf(grbdiffold) > fabsf(grbdiffint)) {
|
||||
rgb[c][indx >> 1] = RBint;
|
||||
}
|
||||
} else {
|
||||
@ -1156,7 +1160,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
p2 * grbdiff[((rr - GRBdir0) * ts + cc) >> 1] + p3 * grbdiff[((rr - GRBdir0) * ts + cc - GRBdir1) >> 1]) / (p0 + p1 + p2 + p3) ;
|
||||
|
||||
//now determine R/B at grid points using interpolated colour differences and interpolated G value at grid point
|
||||
if (fabsf(grbdiffold) > fabsf(grbdiffint) ) {
|
||||
if (fabsf(grbdiffold) > fabsf(grbdiffint)) {
|
||||
rgb[c][indx >> 1] = rgb[1][indx] - grbdiffint;
|
||||
}
|
||||
}
|
||||
@ -1185,10 +1189,10 @@ float* RawImageSource::CA_correct_RT(
|
||||
}
|
||||
}
|
||||
|
||||
if(plistener) {
|
||||
if (plistener) {
|
||||
progresscounter++;
|
||||
|
||||
if(progresscounter % 8 == 0)
|
||||
if (progresscounter % 8 == 0)
|
||||
#pragma omp critical (cacorrect)
|
||||
{
|
||||
progress += 4.0 * SQR(ts - border2) / (iterations * height * width);
|
||||
@ -1196,63 +1200,66 @@ float* RawImageSource::CA_correct_RT(
|
||||
plistener->setProgress(progress);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
#pragma omp barrier
|
||||
// copy temporary image matrix back to image matrix
|
||||
#pragma omp for
|
||||
|
||||
for(int row = 0; row < height; row++) {
|
||||
for (int row = 0; row < height; row++) {
|
||||
int col = FC(row, 0) & 1;
|
||||
int indx = (row * width + col) >> 1;
|
||||
#ifdef __SSE2__
|
||||
for(; col < width - 7 - (3 * (W & 1)); col += 8, indx += 4) {
|
||||
for (; col < width - 7 - (3 * (W & 1)); col += 8, indx += 4) {
|
||||
STC2VFU(rawData[row][col], LVFU(RawDataTmp[indx]));
|
||||
}
|
||||
#endif
|
||||
for(; col < width - (3 * (W & 1)); col += 2, indx++) {
|
||||
for (; col < width - (3 * (W & 1)); col += 2, indx++) {
|
||||
rawData[row][col] = RawDataTmp[indx];
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
// clean up
|
||||
free(bufferThr);
|
||||
}
|
||||
}
|
||||
if(autoCA && fitParamsTransfer && fitParamsOut) {
|
||||
if (autoCA && fitParamsTransfer && fitParamsOut) {
|
||||
// store calculated parameters
|
||||
int index = 0;
|
||||
for(int c = 0; c < 2; ++c) {
|
||||
for(int d = 0; d < 2; ++d) {
|
||||
for(int e = 0; e < 16; ++e) {
|
||||
for (int c = 0; c < 2; ++c) {
|
||||
for (int d = 0; d < 2; ++d) {
|
||||
for (int e = 0; e < 16; ++e) {
|
||||
fitParamsTransfer[index++] = fitparams[c][d][e];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if(freeBuffer) {
|
||||
if (freeBuffer) {
|
||||
free(buffer);
|
||||
buffer = nullptr;
|
||||
}
|
||||
|
||||
|
||||
if (avoidColourshift) {
|
||||
// to avoid or at least reduce the colour shift caused by raw ca correction we compute the per pixel difference factors
|
||||
// of red and blue channel and apply a gaussian blur on them.
|
||||
// Then we apply the resulting factors per pixel on the result of raw ca correction
|
||||
|
||||
array2D<float> redFactor((W+1)/2, (H+1)/2);
|
||||
array2D<float> blueFactor((W+1)/2, (H+1)/2);
|
||||
|
||||
#pragma omp parallel
|
||||
{
|
||||
#pragma omp for
|
||||
for(int i = 0; i < H; ++i) {
|
||||
for (int i = 0; i < H; ++i) {
|
||||
const int firstCol = FC(i, 0) & 1;
|
||||
const int colour = FC(i, firstCol);
|
||||
const array2D<float>* nonGreen = colour == 0 ? &redFactor : &blueFactor;
|
||||
int j = firstCol;
|
||||
for(; j < W - 1; j += 2) {
|
||||
for (; j < W - 1; j += 2) {
|
||||
(*nonGreen)[i/2][j/2] = rtengine::LIM((rawData[i][j] <= 1.f || (*oldraw)[i][j / 2] <= 1.f) ? 1.f : (*oldraw)[i][j / 2] / rawData[i][j], 0.5f, 2.f);
|
||||
}
|
||||
if (j < W) {
|
||||
@ -1263,6 +1270,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
#pragma omp single
|
||||
{
|
||||
if (H % 2) {
|
||||
// odd height => factors for one one channel are not set in last row => use values of preceding row
|
||||
const int firstCol = FC(0, 0) & 1;
|
||||
const int colour = FC(0, firstCol);
|
||||
const array2D<float>* nonGreen = colour == 0 ? &blueFactor : &redFactor;
|
||||
@ -1272,6 +1280,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
}
|
||||
|
||||
if (W % 2) {
|
||||
// odd width => factors for one one channel are not set in last column => use value of preceding column
|
||||
const int ngRow = 1 - (FC(0, 0) & 1);
|
||||
const int ngCol = FC(ngRow, 0) & 1;
|
||||
const int colour = FC(ngRow, ngCol);
|
||||
@ -1282,18 +1291,18 @@ float* RawImageSource::CA_correct_RT(
|
||||
}
|
||||
}
|
||||
|
||||
#pragma omp barrier
|
||||
|
||||
// blur correction factors
|
||||
gaussianBlur(redFactor, redFactor, (W+1)/2, (H+1)/2, 30.0);
|
||||
gaussianBlur(blueFactor, blueFactor, (W+1)/2, (H+1)/2, 30.0);
|
||||
|
||||
// apply correction factors to avoid (reduce) colour shift
|
||||
#pragma omp for
|
||||
for(int i = 0; i < H; ++i) {
|
||||
for (int i = 0; i < H; ++i) {
|
||||
const int firstCol = FC(i, 0) & 1;
|
||||
const int colour = FC(i, firstCol);
|
||||
const array2D<float>* nonGreen = colour == 0 ? &redFactor : &blueFactor;
|
||||
int j = firstCol;
|
||||
for(; j < W - 1; j += 2) {
|
||||
for (; j < W - 1; j += 2) {
|
||||
rawData[i][j] *= (*nonGreen)[i/2][j/2];
|
||||
}
|
||||
if (j < W) {
|
||||
@ -1304,7 +1313,7 @@ float* RawImageSource::CA_correct_RT(
|
||||
delete oldraw;
|
||||
}
|
||||
|
||||
if(plistener) {
|
||||
if (plistener) {
|
||||
plistener->setProgress(1.0);
|
||||
}
|
||||
return buffer;
|
||||
|
||||
@ -2009,13 +2009,13 @@ void RawImageSource::preprocess (const RAWParams &raw, const LensProfParams &le
|
||||
}
|
||||
if(numFrames == 4) {
|
||||
double fitParams[64];
|
||||
float *buffer = CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, 8.0, raw.ca_avoidcolourshift, *rawDataFrames[0], fitParams, false, true, nullptr, false);
|
||||
float *buffer = CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, raw.ca_avoidcolourshift, *rawDataFrames[0], fitParams, false, true, nullptr, false);
|
||||
for(int i = 1; i < 3; ++i) {
|
||||
CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, 8.0, raw.ca_avoidcolourshift, *rawDataFrames[i], fitParams, true, false, buffer, false);
|
||||
CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, raw.ca_avoidcolourshift, *rawDataFrames[i], fitParams, true, false, buffer, false);
|
||||
}
|
||||
CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, 8.0, raw.ca_avoidcolourshift, *rawDataFrames[3], fitParams, true, false, buffer, true);
|
||||
CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, raw.ca_avoidcolourshift, *rawDataFrames[3], fitParams, true, false, buffer, true);
|
||||
} else {
|
||||
CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, 8.0, raw.ca_avoidcolourshift, rawData, nullptr, false, false, nullptr, true);
|
||||
CA_correct_RT(raw.ca_autocorrect, raw.caautoiterations, raw.cared, raw.cablue, raw.ca_avoidcolourshift, rawData, nullptr, false, false, nullptr, true);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@ -244,7 +244,6 @@ protected:
|
||||
size_t autoIterations,
|
||||
double cared,
|
||||
double cablue,
|
||||
double caautostrength,
|
||||
bool avoidColourshift,
|
||||
const array2D<float> &rawData,
|
||||
double* fitParamsTransfer,
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user