rtengine/PF_correct_RT.cc : further cleanup
This commit is contained in:
heckflosse
parent
77376bb452
commit
fef8cb475c
@ -53,8 +53,8 @@ void ImProcFunctions::PF_correct_RT(LabImage * src, double radius, int thresh)
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// local variables
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const int width = src->W, height = src->H;
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//temporary array to store chromaticity
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//temporary array to store chromaticity
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std::unique_ptr<float[]> fringe(new float[width * height]);
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const JaggedArray<float> tmpa(width, height);
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@ -65,8 +65,8 @@ void ImProcFunctions::PF_correct_RT(LabImage * src, double radius, int thresh)
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#pragma omp parallel
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#endif
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{
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gaussianBlur(src->a, tmpa, src->W, src->H, radius);
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gaussianBlur(src->b, tmpb, src->W, src->H, radius);
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gaussianBlur(src->a, tmpa, width, height, radius);
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gaussianBlur(src->b, tmpb, width, height, radius);
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}
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double chromave = 0.0; // use double precision for large summations
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@ -153,15 +153,12 @@ void ImProcFunctions::PF_correct_RT(LabImage * src, double radius, int thresh)
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//test for pixel darker than some fraction of neighbourhood ave, near an edge, more saturated than average
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if (fringe[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float wt;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = 0; j1 < j + halfwin; j1++) {
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//neighbourhood average of pixels weighted by chrominance
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wt = fringe[i1 * width + j1];
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float wt = fringe[i1 * width + j1];
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atot += wt * src->a[i1][j1];
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btot += wt * src->b[i1][j1];
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norm += wt;
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@ -176,15 +173,12 @@ void ImProcFunctions::PF_correct_RT(LabImage * src, double radius, int thresh)
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//test for pixel darker than some fraction of neighbourhood ave, near an edge, more saturated than average
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if (fringe[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float wt;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = j - halfwin + 1; j1 < j + halfwin; j1++) {
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//neighbourhood average of pixels weighted by chrominance
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wt = fringe[i1 * width + j1];
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float wt = fringe[i1 * width + j1];
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atot += wt * src->a[i1][j1];
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btot += wt * src->b[i1][j1];
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norm += wt;
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@ -199,15 +193,12 @@ void ImProcFunctions::PF_correct_RT(LabImage * src, double radius, int thresh)
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//test for pixel darker than some fraction of neighbourhood ave, near an edge, more saturated than average
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if (fringe[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float wt;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = j - halfwin + 1; j1 < width; j1++) {
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//neighbourhood average of pixels weighted by chrominance
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wt = fringe[i1 * width + j1];
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float wt = fringe[i1 * width + j1];
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atot += wt * src->a[i1][j1];
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btot += wt * src->b[i1][j1];
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norm += wt;
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@ -276,12 +267,10 @@ void ImProcFunctions::PF_correct_RTcam(CieImage * src, double radius, int thresh
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#pragma omp parallel
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#endif
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{
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gaussianBlur(sraa, tmaa, src->W, src->H, radius);
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gaussianBlur(srbb, tmbb, src->W, src->H, radius);
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gaussianBlur(sraa, tmaa, width, height, radius);
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gaussianBlur(srbb, tmbb, width, height, radius);
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}
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double chromave = 0.0; // use double precision for large summations
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#ifdef __SSE2__
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if(chCurve) {
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@ -309,6 +298,8 @@ void ImProcFunctions::PF_correct_RTcam(CieImage * src, double radius, int thresh
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#endif
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double chromave = 0.0; // use double precision for large summations
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#ifdef _OPENMP
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#pragma omp parallel
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#endif
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@ -375,9 +366,7 @@ void ImProcFunctions::PF_correct_RTcam(CieImage * src, double radius, int thresh
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tmbb[i][j] = srbb[i][j];
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if (fringe[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = 0; j1 < j + halfwin; j1++) {
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@ -400,9 +389,7 @@ void ImProcFunctions::PF_correct_RTcam(CieImage * src, double radius, int thresh
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tmbb[i][j] = srbb[i][j];
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if (fringe[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = j - halfwin + 1; j1 < j + halfwin; j1++) {
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@ -425,9 +412,7 @@ void ImProcFunctions::PF_correct_RTcam(CieImage * src, double radius, int thresh
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tmbb[i][j] = srbb[i][j];
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if (fringe[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = j - halfwin + 1; j1 < width; j1++) {
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@ -477,7 +462,6 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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if(mode == 2 && radius < 0.25) { // for gauss sigma less than 0.25 gaussianblur() just calls memcpy => nothing to do here
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return;
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}
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const int halfwin = ceil(2 * radius) + 1;
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const int width = src->W, height = src->H;
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@ -493,12 +477,12 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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#endif
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{
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//luma sh_p
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gaussianBlur(src->sh_p, tmL, src->W, src->H, radius / 2.0);//low value to avoid artifacts
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gaussianBlur(src->sh_p, tmL, width, height, radius / 2.0);//low value to avoid artifacts
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}
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//luma badpixels
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constexpr float sh_thr = 4.5f; //low value for luma sh_p to avoid artifacts
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constexpr float shthr = sh_thr / 24.0f;
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constexpr float shthr = sh_thr / 24.0f; // divide by 24 because we are using an 5x5 grid and centre point is excluded from summation
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#ifdef _OPENMP
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#pragma omp parallel
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@ -573,111 +557,80 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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for (int i = 0; i < height; i++) {
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int j = 0;
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for (; j < 2; j++) {
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if (!badpix[i * width + j]) {
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continue;
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}
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if (badpix[i * width + j]) {
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float norm = 0.f, shsum = 0.f, sum = 0.f, tot = 0.f;
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float norm = 0.f;
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float shsum = 0.f;
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float sum = 0.f;
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int tot = 0;
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for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++ )
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for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++ ) {
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for (int j1 = 0; j1 <= j + 2; j1++ ) {
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if (i1 == i && j1 == j) {
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continue;
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}
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if (badpix[i1 * width + j1]) {
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continue;
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}
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if (!badpix[i1 * width + j1]) {
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sum += src->sh_p[i1][j1];
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tot++;
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tot += 1.f;
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float dirsh = 1.f / (SQR(src->sh_p[i1][j1] - src->sh_p[i][j]) + eps);
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shsum += dirsh * src->sh_p[i1][j1];
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norm += dirsh;
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}
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}
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}
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if (norm > 0.f) {
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src->sh_p[i][j] = shsum / norm;
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} else if (tot > 0) {
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} else if (tot > 0.f) {
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src->sh_p[i][j] = sum / tot;
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}
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}
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}
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for (; j < width - 2; j++) {
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if (!badpix[i * width + j]) {
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continue;
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}
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if (badpix[i * width + j]) {
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float norm = 0.f, shsum = 0.f, sum = 0.f, tot = 0.f;
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float norm = 0.f;
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float shsum = 0.f;
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float sum = 0.f;
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int tot = 0;
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for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++ )
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for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++ ) {
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for (int j1 = j - 2; j1 <= j + 2; j1++ ) {
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if (i1 == i && j1 == j) {
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continue;
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}
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if (badpix[i1 * width + j1]) {
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continue;
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}
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if (!badpix[i1 * width + j1]) {
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sum += src->sh_p[i1][j1];
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tot++;
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tot += 1.f;
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float dirsh = 1.f / (SQR(src->sh_p[i1][j1] - src->sh_p[i][j]) + eps);
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shsum += dirsh * src->sh_p[i1][j1];
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norm += dirsh;
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}
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}
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}
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if (norm > 0.f) {
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src->sh_p[i][j] = shsum / norm;
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} else if(tot > 0) {
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} else if(tot > 0.f) {
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src->sh_p[i][j] = sum / tot;
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}
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}
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}
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for (; j < width; j++) {
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if (!badpix[i * width + j]) {
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continue;
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}
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if (badpix[i * width + j]) {
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float norm = 0.f, shsum = 0.f, sum = 0.f, tot = 0.f;
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float norm = 0.f;
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float shsum = 0.f;
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float sum = 0.f;
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int tot = 0;
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for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++ )
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for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++ ) {
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for (int j1 = j - 2; j1 < width; j1++ ) {
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if (i1 == i && j1 == j) {
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continue;
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}
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if (badpix[i1 * width + j1]) {
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continue;
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}
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if (!badpix[i1 * width + j1]) {
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sum += src->sh_p[i1][j1];
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tot++;
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tot += 1.f;
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float dirsh = 1.f / (SQR(src->sh_p[i1][j1] - src->sh_p[i][j]) + eps);
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shsum += dirsh * src->sh_p[i1][j1];
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norm += dirsh;
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}
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}
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}
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if (norm > 0.f) {
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src->sh_p[i][j] = shsum / norm;
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} else if(tot > 0) {
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} else if(tot > 0.f) {
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src->sh_p[i][j] = sum / tot;
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}
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}
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}
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}
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}
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// end luma badpixels
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if(hotbad) {
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const JaggedArray<float> sraa(width, height);
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const JaggedArray<float> srbb(width, height);
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@ -721,8 +674,8 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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#endif
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{
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//chroma a and b
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gaussianBlur(sraa, tmaa, src->W, src->H, radius);
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gaussianBlur(srbb, tmbb, src->W, src->H, radius);
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gaussianBlur(sraa, tmaa, width, height, radius);
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gaussianBlur(srbb, tmbb, width, height, radius);
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}
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} else if(mode == 1) { //choice of median
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@ -730,36 +683,17 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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#pragma omp parallel
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#endif
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{
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int ip, in, jp, jn;
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#ifdef _OPENMP
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#pragma omp for nowait //nowait because next loop inside this parallel region is independent on this one
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#endif
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for (int i = 0; i < height; i++) {
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if (i < 2) {
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ip = i + 2;
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} else {
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ip = i - 2;
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}
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if (i > height - 3) {
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in = i - 2;
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} else {
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in = i + 2;
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}
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int ip = i < 2 ? i + 2 : i -2;
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int in = i > height - 3 ? i - 2 : i + 2;
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for (int j = 0; j < width; j++) {
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if (j < 2) {
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jp = j + 2;
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} else {
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jp = j - 2;
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}
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if (j > width - 3) {
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jn = j - 2;
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} else {
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jn = j + 2;
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}
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int jp = j < 2 ? j + 2 : j -2;
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int jn = j > width - 3 ? j - 2 : j + 2;
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tmaa[i][j] = median(sraa[ip][jp], sraa[ip][j], sraa[ip][jn], sraa[i][jp], sraa[i][j], sraa[i][jn], sraa[in][jp], sraa[in][j], sraa[in][jn]);
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}
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@ -769,30 +703,12 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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#pragma omp for
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#endif
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for (int i = 0; i < height; i++) {
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if (i < 2) {
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ip = i + 2;
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} else {
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ip = i - 2;
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}
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if (i > height - 3) {
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in = i - 2;
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} else {
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in = i + 2;
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}
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int ip = i < 2 ? i + 2 : i -2;
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int in = i > height - 3 ? i - 2 : i + 2;
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for (int j = 0; j < width; j++) {
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if (j < 2) {
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jp = j + 2;
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} else {
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jp = j - 2;
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}
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if (j > width - 3) {
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jn = j - 2;
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} else {
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jn = j + 2;
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}
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int jp = j < 2 ? j + 2 : j -2;
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int jn = j > width - 3 ? j - 2 : j + 2;
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tmbb[i][j] = median(srbb[ip][jp], srbb[ip][j], srbb[ip][jn], srbb[i][jp], srbb[i][j], srbb[i][jn], srbb[in][jp], srbb[in][j], srbb[in][jn]);
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}
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@ -801,7 +717,6 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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}
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// begin chroma badpixels
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if(hotbad) {
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double chrommed = 0.0; // use double precision for large summations
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#ifdef _OPENMP
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#pragma omp parallel for reduction(+:chrommed)
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@ -845,6 +760,7 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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}
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const float threshfactor = 1.f / ((thresh * chrommed) / 33.f + chrommed);
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const int halfwin = ceil(2 * radius) + 1;
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#ifdef _OPENMP
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#pragma omp parallel for schedule(dynamic,16)
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@ -855,9 +771,7 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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for(; j < halfwin; j++) {
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if (badpix[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = 0; j1 < j + halfwin; j1++) {
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@ -888,9 +802,7 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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vmask selMask = vmaskf_lt(LVFU(badpix[i * width + j]), threshfactorv);
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if(_mm_movemask_ps((vfloat)selMask)) {
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vfloat atotv = ZEROV;
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vfloat btotv = ZEROV;
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vfloat normv = ZEROV;
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vfloat atotv = ZEROV, btotv = ZEROV, normv = ZEROV;
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = j - halfwin + 1; j1 < j + halfwin; j1++) {
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@ -918,9 +830,7 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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for(; j < width - halfwin; j++) {
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if (badpix[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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float atot = 0.f, btot = 0.f, norm = 0.f;
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||||
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
|
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for (int j1 = j - halfwin + 1; j1 < j + halfwin; j1++) {
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@ -946,9 +856,7 @@ void ImProcFunctions::Badpixelscam(CieImage * src, double radius, int thresh, in
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for(; j < width; j++) {
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if (badpix[i * width + j] < threshfactor) {
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float atot = 0.f;
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float btot = 0.f;
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float norm = 0.f;
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||||
float atot = 0.f, btot = 0.f, norm = 0.f;
|
||||
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for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++)
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for (int j1 = j - halfwin + 1; j1 < width; j1++) {
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@ -993,7 +901,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
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#endif
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{
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||||
// blur L channel
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gaussianBlur(src->L, tmL, src->W, src->H, 2.0);//low value to avoid artifacts
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gaussianBlur(src->L, tmL, width, height, 2.0);//low value to avoid artifacts
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||||
}
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||||
//luma badpixels
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||||
@ -1074,10 +982,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
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||||
int j = 0;
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||||
for (; j < 2; j++) {
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||||
if (badpix[i * width + j]) {
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float norm = 0.f;
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float shsum = 0.f;
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||||
float sum = 0.f;
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||||
float tot = 0.f;
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||||
float norm = 0.f, shsum = 0.f, sum = 0.f, tot = 0.f;
|
||||
|
||||
for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++) {
|
||||
for (int j1 = 0; j1 <= j + 2; j1++) {
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||||
@ -1100,10 +1005,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
|
||||
|
||||
for (; j < width - 2; j++) {
|
||||
if (badpix[i * width + j]) {
|
||||
float norm = 0.f;
|
||||
float shsum = 0.f;
|
||||
float sum = 0.f;
|
||||
float tot = 0.f;
|
||||
float norm = 0.f, shsum = 0.f, sum = 0.f, tot = 0.f;
|
||||
|
||||
for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++) {
|
||||
for (int j1 = j - 2; j1 <= j + 2; j1++) {
|
||||
@ -1126,10 +1028,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
|
||||
|
||||
for (; j < width; j++) {
|
||||
if (badpix[i * width + j]) {
|
||||
float norm = 0.f;
|
||||
float shsum = 0.f;
|
||||
float sum = 0.f;
|
||||
float tot = 0.f;
|
||||
float norm = 0.f, shsum = 0.f, sum = 0.f, tot = 0.f;
|
||||
|
||||
for (int i1 = max(0, i - 2); i1 <= min(i + 2, height - 1); i1++) {
|
||||
for (int j1 = j - 2; j1 < width; j1++) {
|
||||
@ -1161,8 +1060,8 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
|
||||
#endif
|
||||
{
|
||||
// blur chroma a and b
|
||||
gaussianBlur(src->a, tmaa, src->W, src->H, radius);
|
||||
gaussianBlur(src->b, tmbb, src->W, src->H, radius);
|
||||
gaussianBlur(src->a, tmaa, width, height, radius);
|
||||
gaussianBlur(src->b, tmbb, width, height, radius);
|
||||
}
|
||||
|
||||
// begin chroma badpixels
|
||||
@ -1224,9 +1123,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
|
||||
for(; j < halfwin; j++) {
|
||||
|
||||
if (badpix[i * width + j] < threshfactor) {
|
||||
float atot = 0.f;
|
||||
float btot = 0.f;
|
||||
float norm = 0.f;
|
||||
float atot = 0.f, btot = 0.f, norm = 0.f;
|
||||
|
||||
for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++) {
|
||||
for (int j1 = 0; j1 < j + halfwin; j1++) {
|
||||
@ -1250,9 +1147,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
|
||||
|
||||
vmask selMask = vmaskf_lt(LVFU(badpix[i * width + j]), threshfactorv);
|
||||
if (_mm_movemask_ps((vfloat)selMask)) {
|
||||
vfloat atotv = ZEROV;
|
||||
vfloat btotv = ZEROV;
|
||||
vfloat normv = ZEROV;
|
||||
vfloat atotv = ZEROV, btotv = ZEROV, normv = ZEROV;
|
||||
|
||||
for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++) {
|
||||
for (int j1 = j - halfwin + 1; j1 < j + halfwin; j1++) {
|
||||
@ -1275,9 +1170,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
|
||||
for(; j < width - halfwin; j++) {
|
||||
|
||||
if (badpix[i * width + j] < threshfactor) {
|
||||
float atot = 0.f;
|
||||
float btot = 0.f;
|
||||
float norm = 0.f;
|
||||
float atot = 0.f, btot = 0.f, norm = 0.f;
|
||||
|
||||
for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++) {
|
||||
for (int j1 = j - halfwin + 1; j1 < j + halfwin; j1++) {
|
||||
@ -1297,9 +1190,7 @@ void ImProcFunctions::BadpixelsLab(LabImage * src, double radius, int thresh, fl
|
||||
for(; j < width; j++) {
|
||||
|
||||
if (badpix[i * width + j] < threshfactor) {
|
||||
float atot = 0.f;
|
||||
float btot = 0.f;
|
||||
float norm = 0.f;
|
||||
float atot = 0.f, btot = 0.f, norm = 0.f;
|
||||
|
||||
for (int i1 = max(0, i - halfwin + 1); i1 < min(height, i + halfwin); i1++) {
|
||||
for (int j1 = j - halfwin + 1; j1 < width; j1++) {
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user