//////////////////////////////////////////////////////////////// // // Green Equilibration via directional average // // copyright (c) 2008-2010 Emil Martinec // optimized for speed 2017 Ingo Weyrich // // // code dated: August 25, 2017 // // green_equil_RT.cc is free software: you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation, either version 3 of the License, or // (at your option) any later version. // // This program is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // // You should have received a copy of the GNU General Public License // along with this program. If not, see . // //////////////////////////////////////////////////////////////// #include #include #include #include "rt_math.h" #include "rawimagesource.h" #include "opthelper.h" namespace rtengine { void RawImageSource::green_equilibrate_global(array2D &rawData) { // global correction int ng1 = 0, ng2 = 0; double avgg1 = 0., avgg2 = 0.; #ifdef _OPENMP #pragma omp parallel for reduction(+: ng1, ng2, avgg1, avgg2) schedule(dynamic,16) #endif for (int i = border; i < H - border; i++) { double avgg = 0.; for (int j = border + ((FC(i, border) & 1) ^ 1); j < W - border; j += 2) { avgg += static_cast(rawData[i][j]); } int ng = (W - 2 * border + (FC(i, border) & 1)) / 2; if (i & 1) { avgg2 += avgg; ng2 += ng; } else { avgg1 += avgg; ng1 += ng; } } // Avoid division by zero if(ng1 == 0 || avgg1 == 0.0) { ng1 = 1; avgg1 = 1.0; } if(ng2 == 0 || avgg2 == 0.0) { ng2 = 1; avgg2 = 1.0; } const float corrg1 = (avgg1 / ng1 + avgg2 / ng2) / 2.0 / (avgg1 / ng1); const float corrg2 = (avgg1 / ng1 + avgg2 / ng2) / 2.0 / (avgg2 / ng2); #ifdef _OPENMP #pragma omp parallel for schedule(dynamic,16) #endif for (int i = border; i < H - border; i++) { const float corrg = (i & 1) ? corrg2 : corrg1; for (int j = border + ((FC(i, border) & 1) ^ 1); j < W - border; j += 2) { rawData[i][j] *= corrg; } } } //void green_equilibrate()//for dcraw implementation void RawImageSource::green_equilibrate(const GreenEqulibrateThreshold &thresh, array2D &rawData) { // thresh = threshold for performing green equilibration; max percentage difference of G1 vs G2 // G1-G2 differences larger than this will be assumed to be Nyquist texture, and left untouched int height = H, width = W; // local variables array2D cfa(width / 2 + (width & 1), height); #ifdef _OPENMP #pragma omp parallel for schedule(dynamic,16) #endif for (int i = 0; i < height; ++i) { int j = (FC(i, 0) & 1) ^ 1; #ifdef __SSE2__ for (; j < width - 7; j += 8) { STVFU(cfa[i][j >> 1], LC2VFU(rawData[i][j])); } #endif for (; j < width; j += 2) { cfa[i][j >> 1] = rawData[i][j]; } } constexpr float eps = 1.f; //tolerance to avoid dividing by zero // const float thresh6 = 6 * thresh; // %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% // Fill G interpolated values with border interpolation and input values //int vote1, vote2; //int counter, vtest; //The green equilibration algorithm starts here //now smooth the cfa data #ifdef _OPENMP #pragma omp parallel #endif { #ifdef __SSE2__ vfloat zd5v = F2V(0.5f); vfloat onev = F2V(1.f); // vfloat threshv = F2V(thresh); // vfloat thresh6v = F2V(thresh6); vfloat epsv = F2V(eps); #endif #ifdef _OPENMP #pragma omp for schedule(dynamic,16) #endif for (int rr = 4; rr < height - 4; rr++) { int cc = 5 - (FC(rr, 2) & 1); #ifdef __SSE2__ for (; cc < width - 12; cc += 8) { //neighbour checking code from Manuel Llorens Garcia vfloat o1_1 = LVFU(cfa[rr - 1][(cc - 1) >> 1]); vfloat o1_2 = LVFU(cfa[rr - 1][(cc + 1) >> 1]); vfloat o1_3 = LVFU(cfa[rr + 1][(cc - 1) >> 1]); vfloat o1_4 = LVFU(cfa[rr + 1][(cc + 1) >> 1]); vfloat o2_1 = LVFU(cfa[rr - 2][cc >> 1]); vfloat o2_2 = LVFU(cfa[rr + 2][cc >> 1]); vfloat o2_3 = LVFU(cfa[rr][(cc >> 1) - 1]); vfloat o2_4 = LVFU(cfa[rr][(cc >> 1) + 1]); vfloat d1 = (o1_1 + o1_2 + o1_3 + o1_4); vfloat d2 = (o2_1 + o2_2 + o2_3 + o2_4); vfloat c1 = (vabsf(o1_1 - o1_2) + vabsf(o1_1 - o1_3) + vabsf(o1_1 - o1_4) + vabsf(o1_2 - o1_3) + vabsf(o1_3 - o1_4) + vabsf(o1_2 - o1_4)); vfloat c2 = (vabsf(o2_1 - o2_2) + vabsf(o2_1 - o2_3) + vabsf(o2_1 - o2_4) + vabsf(o2_2 - o2_3) + vabsf(o2_3 - o2_4) + vabsf(o2_2 - o2_4)); vfloat tfv; for (int k = 0; k < 4; ++k) { tfv[k] = thresh(rr, cc + 2 * k); } vfloat tf6v = F2V(6.f) * tfv; vmask mask1 = vmaskf_lt(c1 + c2, tf6v * vabsf(d1 - d2)); if (_mm_movemask_ps((vfloat)mask1)) { // if for any of the 4 pixels the condition is true, do the maths for all 4 pixels and mask the unused out at the end //pixel interpolation vfloat gin = LVFU(cfa[rr][cc >> 1]); vfloat gmp2p2 = gin - LVFU(cfa[rr + 2][(cc >> 1) + 1]); vfloat gmm2m2 = gin - LVFU(cfa[rr - 2][(cc >> 1) - 1]); vfloat gmm2p2 = gin - LVFU(cfa[rr - 2][(cc >> 1) + 1]); vfloat gmp2m2 = gin - LVFU(cfa[rr + 2][(cc >> 1) - 1]); vfloat gse = o1_4 + zd5v * gmp2p2; vfloat gnw = o1_1 + zd5v * gmm2m2; vfloat gne = o1_2 + zd5v * gmm2p2; vfloat gsw = o1_3 + zd5v * gmp2m2; vfloat wtse = onev / (epsv + SQRV(gmp2p2) + SQRV(LVFU(cfa[rr + 3][(cc + 3) >> 1]) - o1_4)); vfloat wtnw = onev / (epsv + SQRV(gmm2m2) + SQRV(LVFU(cfa[rr - 3][(cc - 3) >> 1]) - o1_1)); vfloat wtne = onev / (epsv + SQRV(gmm2p2) + SQRV(LVFU(cfa[rr - 3][(cc + 3) >> 1]) - o1_2)); vfloat wtsw = onev / (epsv + SQRV(gmp2m2) + SQRV(LVFU(cfa[rr + 3][(cc - 3) >> 1]) - o1_3)); vfloat ginterp = (gse * wtse + gnw * wtnw + gne * wtne + gsw * wtsw) / (wtse + wtnw + wtne + wtsw); vfloat val = vself(vmaskf_lt(ginterp - gin, tfv * (ginterp + gin)), zd5v * (ginterp + gin), gin); val = vself(mask1, val, gin); STC2VFU(rawData[rr][cc], val); } } #endif for (; cc < width - 6; cc += 2) { //neighbour checking code from Manuel Llorens Garcia float o1_1 = cfa[rr - 1][(cc - 1) >> 1]; float o1_2 = cfa[rr - 1][(cc + 1) >> 1]; float o1_3 = cfa[rr + 1][(cc - 1) >> 1]; float o1_4 = cfa[rr + 1][(cc + 1) >> 1]; float o2_1 = cfa[rr - 2][cc >> 1]; float o2_2 = cfa[rr + 2][cc >> 1]; float o2_3 = cfa[rr][(cc - 2) >> 1]; float o2_4 = cfa[rr][(cc + 2) >> 1]; float d1 = (o1_1 + o1_2) + (o1_3 + o1_4); float d2 = (o2_1 + o2_2) + (o2_3 + o2_4); float c1 = (fabs(o1_1 - o1_2) + fabs(o1_1 - o1_3) + fabs(o1_1 - o1_4) + fabs(o1_2 - o1_3) + fabs(o1_3 - o1_4) + fabs(o1_2 - o1_4)); float c2 = (fabs(o2_1 - o2_2) + fabs(o2_1 - o2_3) + fabs(o2_1 - o2_4) + fabs(o2_2 - o2_3) + fabs(o2_3 - o2_4) + fabs(o2_2 - o2_4)); float tf = thresh(rr, cc); if (c1 + c2 < 6 * tf * std::fabs(d1 - d2)) { //pixel interpolation float gin = cfa[rr][cc >> 1]; float gmp2p2 = gin - cfa[rr + 2][(cc + 2) >> 1]; float gmm2m2 = gin - cfa[rr - 2][(cc - 2) >> 1]; float gmm2p2 = gin - cfa[rr - 2][(cc + 2) >> 1]; float gmp2m2 = gin - cfa[rr + 2][(cc - 2) >> 1]; float gse = o1_4 + 0.5f * gmp2p2; float gnw = o1_1 + 0.5f * gmm2m2; float gne = o1_2 + 0.5f * gmm2p2; float gsw = o1_3 + 0.5f * gmp2m2; float wtse = 1.f / (eps + SQR(gmp2p2) + SQR(cfa[rr + 3][(cc + 3) >> 1] - o1_4)); float wtnw = 1.f / (eps + SQR(gmm2m2) + SQR(cfa[rr - 3][(cc - 3) >> 1] - o1_1)); float wtne = 1.f / (eps + SQR(gmm2p2) + SQR(cfa[rr - 3][(cc + 3) >> 1] - o1_2)); float wtsw = 1.f / (eps + SQR(gmp2m2) + SQR(cfa[rr + 3][(cc - 3) >> 1] - o1_3)); float ginterp = (gse * wtse + gnw * wtnw + gne * wtne + gsw * wtsw) / (wtse + wtnw + wtne + wtsw); if (ginterp - gin < tf * (ginterp + gin)) { rawData[rr][cc] = 0.5f * (ginterp + gin); } } } } } } }