Integrated the RCD demosaic method by Luis Sanz Rodriguez
Original code at https://github.com/LuisSR/RCD-Demosaicing
This commit is contained in:
Alberto Griggio
@@ -3927,6 +3927,286 @@ void RawImageSource::cielab (const float (*rgb)[3], float* l, float* a, float *b
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}
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}
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/**
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* RATIO CORRECTED DEMOSAICING
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* Luis Sanz Rodriguez (luis.sanz.rodriguez(at)gmail(dot)com)
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*
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* Release 2.2 @ 171117
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*/
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void RawImageSource::rcd_demosaic()
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{
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), "rcd"));
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plistener->setProgress(0);
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}
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int width = W, height = H;
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std::vector<float> cfa(width * height);
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std::vector<std::array<float, 3>> rgb(width * height);
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 0; row < height; row++) {
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for (int col = 0, indx = row * width + col; col < width; col++, indx++) {
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int c = FC(row, col);
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cfa[indx] = rgb[indx][c] = CLIP(rawData[row][col]) / 65535.f;
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}
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}
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if (plistener) {
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plistener->setProgress(0.05);
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}
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// ------------------------------------------------------------------------
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/* RT
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int row, col, indx, c;
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*/
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int w1 = width, w2 = 2 * width, w3 = 3 * width, w4 = 4 * width;
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//Tolerance to avoid dividing by zero
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static const float eps = 1e-5, epssq = 1e-10;
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/* RT
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//Gradients
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float N_Grad, E_Grad, W_Grad, S_Grad, NW_Grad, NE_Grad, SW_Grad, SE_Grad;
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//Pixel estimation
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float N_Est, E_Est, W_Est, S_Est, NW_Est, NE_Est, SW_Est, SE_Est, V_Est, H_Est, P_Est, Q_Est;
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//Directional discrimination
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//float V_Stat, H_Stat, P_Stat, Q_Stat;
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float VH_Central_Value, VH_Neighbour_Value, PQ_Central_Value, PQ_Neighbour_Value;
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*/
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float ( *VH_Dir ), ( *VH_Disc ), ( *PQ_Dir ), ( *PQ_Disc );
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//Low pass filter
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float ( *lpf );
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/**
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* STEP 1: Find cardinal and diagonal interpolation directions
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*/
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VH_Dir = ( float ( * ) ) calloc( width * height, sizeof *VH_Dir ); //merror ( VH_Dir, "rcd_demosaicing_171117()" );
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PQ_Dir = ( float ( * ) ) calloc( width * height, sizeof *PQ_Dir ); //merror ( PQ_Dir, "rcd_demosaicing_171117()" );
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 4; row < height - 4; row++ ) {
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for (int col = 4, indx = row * width + col; col < width - 4; col++, indx++ ) {
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//Calculate h/v local discrimination
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float V_Stat = epssq - 18.0f * cfa[indx] * cfa[indx - w1] - 18.0f * cfa[indx] * cfa[indx + w1] - 36.0f * cfa[indx] * cfa[indx - w2] - 36.0f * cfa[indx] * cfa[indx + w2] + 18.0f * cfa[indx] * cfa[indx - w3] + 18.0f * cfa[indx] * cfa[indx + w3] - 2.0f * cfa[indx] * cfa[indx - w4] - 2.0f * cfa[indx] * cfa[indx + w4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1] * cfa[indx + w1] - 12.0f * cfa[indx - w1] * cfa[indx - w2] + 24.0f * cfa[indx - w1] * cfa[indx + w2] - 38.0f * cfa[indx - w1] * cfa[indx - w3] + 16.0f * cfa[indx - w1] * cfa[indx + w3] + 12.0f * cfa[indx - w1] * cfa[indx - w4] - 6.0f * cfa[indx - w1] * cfa[indx + w4] + 46.0f * cfa[indx - w1] * cfa[indx - w1] + 24.0f * cfa[indx + w1] * cfa[indx - w2] - 12.0f * cfa[indx + w1] * cfa[indx + w2] + 16.0f * cfa[indx + w1] * cfa[indx - w3] - 38.0f * cfa[indx + w1] * cfa[indx + w3] - 6.0f * cfa[indx + w1] * cfa[indx - w4] + 12.0f * cfa[indx + w1] * cfa[indx + w4] + 46.0f * cfa[indx + w1] * cfa[indx + w1] + 14.0f * cfa[indx - w2] * cfa[indx + w2] - 12.0f * cfa[indx - w2] * cfa[indx + w3] - 2.0f * cfa[indx - w2] * cfa[indx - w4] + 2.0f * cfa[indx - w2] * cfa[indx + w4] + 11.0f * cfa[indx - w2] * cfa[indx - w2] - 12.0f * cfa[indx + w2] * cfa[indx - w3] + 2.0f * cfa[indx + w2] * cfa[indx - w4] - 2.0f * cfa[indx + w2] * cfa[indx + w4] + 11.0f * cfa[indx + w2] * cfa[indx + w2] + 2.0f * cfa[indx - w3] * cfa[indx + w3] - 6.0f * cfa[indx - w3] * cfa[indx - w4] + 10.0f * cfa[indx - w3] * cfa[indx - w3] - 6.0f * cfa[indx + w3] * cfa[indx + w4] + 10.0f * cfa[indx + w3] * cfa[indx + w3] + 1.0f * cfa[indx - w4] * cfa[indx - w4] + 1.0f * cfa[indx + w4] * cfa[indx + w4];
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float H_Stat = epssq - 18.0f * cfa[indx] * cfa[indx - 1] - 18.0f * cfa[indx] * cfa[indx + 1] - 36.0f * cfa[indx] * cfa[indx - 2] - 36.0f * cfa[indx] * cfa[indx + 2] + 18.0f * cfa[indx] * cfa[indx - 3] + 18.0f * cfa[indx] * cfa[indx + 3] - 2.0f * cfa[indx] * cfa[indx - 4] - 2.0f * cfa[indx] * cfa[indx + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - 1] * cfa[indx + 1] - 12.0f * cfa[indx - 1] * cfa[indx - 2] + 24.0f * cfa[indx - 1] * cfa[indx + 2] - 38.0f * cfa[indx - 1] * cfa[indx - 3] + 16.0f * cfa[indx - 1] * cfa[indx + 3] + 12.0f * cfa[indx - 1] * cfa[indx - 4] - 6.0f * cfa[indx - 1] * cfa[indx + 4] + 46.0f * cfa[indx - 1] * cfa[indx - 1] + 24.0f * cfa[indx + 1] * cfa[indx - 2] - 12.0f * cfa[indx + 1] * cfa[indx + 2] + 16.0f * cfa[indx + 1] * cfa[indx - 3] - 38.0f * cfa[indx + 1] * cfa[indx + 3] - 6.0f * cfa[indx + 1] * cfa[indx - 4] + 12.0f * cfa[indx + 1] * cfa[indx + 4] + 46.0f * cfa[indx + 1] * cfa[indx + 1] + 14.0f * cfa[indx - 2] * cfa[indx + 2] - 12.0f * cfa[indx - 2] * cfa[indx + 3] - 2.0f * cfa[indx - 2] * cfa[indx - 4] + 2.0f * cfa[indx - 2] * cfa[indx + 4] + 11.0f * cfa[indx - 2] * cfa[indx - 2] - 12.0f * cfa[indx + 2] * cfa[indx - 3] + 2.0f * cfa[indx + 2] * cfa[indx - 4] - 2.0f * cfa[indx + 2] * cfa[indx + 4] + 11.0f * cfa[indx + 2] * cfa[indx + 2] + 2.0f * cfa[indx - 3] * cfa[indx + 3] - 6.0f * cfa[indx - 3] * cfa[indx - 4] + 10.0f * cfa[indx - 3] * cfa[indx - 3] - 6.0f * cfa[indx + 3] * cfa[indx + 4] + 10.0f * cfa[indx + 3] * cfa[indx + 3] + 1.0f * cfa[indx - 4] * cfa[indx - 4] + 1.0f * cfa[indx + 4] * cfa[indx + 4];
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VH_Dir[indx] = V_Stat / (V_Stat + H_Stat);
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//Calculate m/p local discrimination
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float P_Stat = epssq - 18.0f * cfa[indx] * cfa[indx - w1 - 1] - 18.0f * cfa[indx] * cfa[indx + w1 + 1] - 36.0f * cfa[indx] * cfa[indx - w2 - 2] - 36.0f * cfa[indx] * cfa[indx + w2 + 2] + 18.0f * cfa[indx] * cfa[indx - w3 - 3] + 18.0f * cfa[indx] * cfa[indx + w3 + 3] - 2.0f * cfa[indx] * cfa[indx - w4 - 4] - 2.0f * cfa[indx] * cfa[indx + w4 + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1 - 1] * cfa[indx + w1 + 1] - 12.0f * cfa[indx - w1 - 1] * cfa[indx - w2 - 2] + 24.0f * cfa[indx - w1 - 1] * cfa[indx + w2 + 2] - 38.0f * cfa[indx - w1 - 1] * cfa[indx - w3 - 3] + 16.0f * cfa[indx - w1 - 1] * cfa[indx + w3 + 3] + 12.0f * cfa[indx - w1 - 1] * cfa[indx - w4 - 4] - 6.0f * cfa[indx - w1 - 1] * cfa[indx + w4 + 4] + 46.0f * cfa[indx - w1 - 1] * cfa[indx - w1 - 1] + 24.0f * cfa[indx + w1 + 1] * cfa[indx - w2 - 2] - 12.0f * cfa[indx + w1 + 1] * cfa[indx + w2 + 2] + 16.0f * cfa[indx + w1 + 1] * cfa[indx - w3 - 3] - 38.0f * cfa[indx + w1 + 1] * cfa[indx + w3 + 3] - 6.0f * cfa[indx + w1 + 1] * cfa[indx - w4 - 4] + 12.0f * cfa[indx + w1 + 1] * cfa[indx + w4 + 4] + 46.0f * cfa[indx + w1 + 1] * cfa[indx + w1 + 1] + 14.0f * cfa[indx - w2 - 2] * cfa[indx + w2 + 2] - 12.0f * cfa[indx - w2 - 2] * cfa[indx + w3 + 3] - 2.0f * cfa[indx - w2 - 2] * cfa[indx - w4 - 4] + 2.0f * cfa[indx - w2 - 2] * cfa[indx + w4 + 4] + 11.0f * cfa[indx - w2 - 2] * cfa[indx - w2 - 2] - 12.0f * cfa[indx + w2 + 2] * cfa[indx - w3 - 3] + 2 * cfa[indx + w2 + 2] * cfa[indx - w4 - 4] - 2.0f * cfa[indx + w2 + 2] * cfa[indx + w4 + 4] + 11.0f * cfa[indx + w2 + 2] * cfa[indx + w2 + 2] + 2.0f * cfa[indx - w3 - 3] * cfa[indx + w3 + 3] - 6.0f * cfa[indx - w3 - 3] * cfa[indx - w4 - 4] + 10.0f * cfa[indx - w3 - 3] * cfa[indx - w3 - 3] - 6.0f * cfa[indx + w3 + 3] * cfa[indx + w4 + 4] + 10.0f * cfa[indx + w3 + 3] * cfa[indx + w3 + 3] + 1.0f * cfa[indx - w4 - 4] * cfa[indx - w4 - 4] + 1.0f * cfa[indx + w4 + 4] * cfa[indx + w4 + 4];
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float Q_Stat = epssq - 18.0f * cfa[indx] * cfa[indx + w1 - 1] - 18.0f * cfa[indx] * cfa[indx - w1 + 1] - 36.0f * cfa[indx] * cfa[indx + w2 - 2] - 36.0f * cfa[indx] * cfa[indx - w2 + 2] + 18.0f * cfa[indx] * cfa[indx + w3 - 3] + 18.0f * cfa[indx] * cfa[indx - w3 + 3] - 2.0f * cfa[indx] * cfa[indx + w4 - 4] - 2.0f * cfa[indx] * cfa[indx - w4 + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx + w1 - 1] * cfa[indx - w1 + 1] - 12.0f * cfa[indx + w1 - 1] * cfa[indx + w2 - 2] + 24.0f * cfa[indx + w1 - 1] * cfa[indx - w2 + 2] - 38.0f * cfa[indx + w1 - 1] * cfa[indx + w3 - 3] + 16.0f * cfa[indx + w1 - 1] * cfa[indx - w3 + 3] + 12.0f * cfa[indx + w1 - 1] * cfa[indx + w4 - 4] - 6.0f * cfa[indx + w1 - 1] * cfa[indx - w4 + 4] + 46.0f * cfa[indx + w1 - 1] * cfa[indx + w1 - 1] + 24.0f * cfa[indx - w1 + 1] * cfa[indx + w2 - 2] - 12.0f * cfa[indx - w1 + 1] * cfa[indx - w2 + 2] + 16.0f * cfa[indx - w1 + 1] * cfa[indx + w3 - 3] - 38.0f * cfa[indx - w1 + 1] * cfa[indx - w3 + 3] - 6.0f * cfa[indx - w1 + 1] * cfa[indx + w4 - 4] + 12.0f * cfa[indx - w1 + 1] * cfa[indx - w4 + 4] + 46.0f * cfa[indx - w1 + 1] * cfa[indx - w1 + 1] + 14.0f * cfa[indx + w2 - 2] * cfa[indx - w2 + 2] - 12.0f * cfa[indx + w2 - 2] * cfa[indx - w3 + 3] - 2.0f * cfa[indx + w2 - 2] * cfa[indx + w4 - 4] + 2.0f * cfa[indx + w2 - 2] * cfa[indx - w4 + 4] + 11.0f * cfa[indx + w2 - 2] * cfa[indx + w2 - 2] - 12.0f * cfa[indx - w2 + 2] * cfa[indx + w3 - 3] + 2 * cfa[indx - w2 + 2] * cfa[indx + w4 - 4] - 2.0f * cfa[indx - w2 + 2] * cfa[indx - w4 + 4] + 11.0f * cfa[indx - w2 + 2] * cfa[indx - w2 + 2] + 2.0f * cfa[indx + w3 - 3] * cfa[indx - w3 + 3] - 6.0f * cfa[indx + w3 - 3] * cfa[indx + w4 - 4] + 10.0f * cfa[indx + w3 - 3] * cfa[indx + w3 - 3] - 6.0f * cfa[indx - w3 + 3] * cfa[indx - w4 + 4] + 10.0f * cfa[indx - w3 + 3] * cfa[indx - w3 + 3] + 1.0f * cfa[indx + w4 - 4] * cfa[indx + w4 - 4] + 1.0f * cfa[indx - w4 + 4] * cfa[indx - w4 + 4];
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PQ_Dir[indx] = P_Stat / ( P_Stat + Q_Stat );
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}
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}
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgress(0.2);
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}
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// -------------------------------------------------------------------------
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VH_Disc = ( float ( * ) ) calloc( width * height, sizeof *VH_Disc ); //merror ( VH_Disc, "rcd_demosaicing_171117()" );
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PQ_Disc = ( float ( * ) ) calloc( width * height, sizeof *PQ_Disc ); //merror ( PQ_Disc, "rcd_demosaicing_171117()" );
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for ( int row = 4; row < height - 4; row++ ) {
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for ( int col = 4, indx = row * width + col; col < width - 4; col++, indx++ ) {
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//Refined h/v local discrimination
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float VH_Central_Value = VH_Dir[indx];
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float VH_Neighbour_Value = 0.25f * (VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1] + VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1]);
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VH_Disc[indx] = ( fabs( 0.5f - VH_Central_Value ) < fabs( 0.5f - VH_Neighbour_Value ) ) ? VH_Neighbour_Value : VH_Central_Value;
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//Refined m/p local discrimination
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float PQ_Central_Value = PQ_Dir[indx];
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float PQ_Neighbour_Value = 0.25f * (PQ_Dir[indx - w1 - 1] + PQ_Dir[indx - w1 + 1] + PQ_Dir[indx + w1 - 1] + PQ_Dir[indx + w1 + 1]);
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PQ_Disc[indx] = ( fabs( 0.5f - PQ_Central_Value ) < fabs( 0.5f - PQ_Neighbour_Value ) ) ? PQ_Neighbour_Value : PQ_Central_Value;
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}
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}
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free( VH_Dir );
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free( PQ_Dir );
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgress(0.4);
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}
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// ------------------------------------------------------------------------
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/**
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* STEP 2: Calculate the low pass filter
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*/
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lpf = ( float ( * ) ) calloc( width * height, sizeof *lpf ); //merror ( lpf, "rcd_demosaicing_171117()" );
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for ( int row = 1; row < height - 1; row++ ) {
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for ( int col = 1, indx = row * width + col; col < width - 1; col++, indx++ ) {
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//Low pass filter incorporating red and blue local samples
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lpf[indx] = 0.25f * cfa[indx] + 0.125f * ( cfa[indx - w1] + cfa[indx + w1] + cfa[indx - 1] + cfa[indx + 1] ) + 0.0625f * ( cfa[indx - w1 - 1] + cfa[indx - w1 + 1] + cfa[indx + w1 - 1] + cfa[indx + w1 + 1] );
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}
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}
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// RT ---------------------------------------------------------------------
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if (plistener) {
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plistener->setProgress(0.5);
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}
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// ------------------------------------------------------------------------
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/**
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* STEP 3: Populate the green channel
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*/
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for ( int row = 4; row < height - 4; row++ ) {
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for ( int col = 4 + ( FC( row, 0 )&1 ), indx = row * width + col; col < width - 4; col += 2, indx += 2 ) {
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//Cardinal gradients
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float N_Grad = eps + fabs( cfa[indx - w1] - cfa[indx + w1] ) + fabs( cfa[indx] - cfa[indx - w2] ) + fabs( cfa[indx - w1] - cfa[indx - w3] ) + fabs( cfa[indx - w2] - cfa[indx - w4] );
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float S_Grad = eps + fabs( cfa[indx + w1] - cfa[indx - w1] ) + fabs( cfa[indx] - cfa[indx + w2] ) + fabs( cfa[indx + w1] - cfa[indx + w3] ) + fabs( cfa[indx + w2] - cfa[indx + w4] );
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float W_Grad = eps + fabs( cfa[indx - 1] - cfa[indx + 1] ) + fabs( cfa[indx] - cfa[indx - 2] ) + fabs( cfa[indx - 1] - cfa[indx - 3] ) + fabs( cfa[indx - 2] - cfa[indx - 4] );
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float E_Grad = eps + fabs( cfa[indx + 1] - cfa[indx - 1] ) + fabs( cfa[indx] - cfa[indx + 2] ) + fabs( cfa[indx + 1] - cfa[indx + 3] ) + fabs( cfa[indx + 2] - cfa[indx + 4] );
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//Cardinal pixel estimations
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float N_Est = cfa[indx - w1] * ( 1.f + ( lpf[indx] - lpf[indx - w2] ) / ( eps + lpf[indx] + lpf[indx - w2] ) );
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float S_Est = cfa[indx + w1] * ( 1.f + ( lpf[indx] - lpf[indx + w2] ) / ( eps + lpf[indx] + lpf[indx + w2] ) );
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float W_Est = cfa[indx - 1] * ( 1.f + ( lpf[indx] - lpf[indx - 2] ) / ( eps + lpf[indx] + lpf[indx - 2] ) );
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float E_Est = cfa[indx + 1] * ( 1.f + ( lpf[indx] - lpf[indx + 2] ) / ( eps + lpf[indx] + lpf[indx + 2] ) );
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//Interpolate G@R & G@B
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float V_Est = ( S_Grad * N_Est + N_Grad * S_Est ) / ( N_Grad + S_Grad );
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float H_Est = ( W_Grad * E_Est + E_Grad * W_Est ) / ( E_Grad + W_Grad );
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rgb[indx][1] = LIM( VH_Disc[indx] * H_Est + ( 1.0f - VH_Disc[indx] ) * V_Est, 0.f, 1.f );
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}
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}
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free( lpf );
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// RT ---------------------------------------------------------------------
|
||||
if (plistener) {
|
||||
plistener->setProgress(0.7);
|
||||
}
|
||||
// -------------------------------------------------------------------------
|
||||
|
||||
/**
|
||||
* STEP 4: Populate the red and blue channel
|
||||
*/
|
||||
#ifdef _OPENMP
|
||||
#pragma omp parallel for
|
||||
#endif
|
||||
for ( int row = 4; row < height - 4; row++ ) {
|
||||
for ( int col = 4 + ( FC( row, 0 )&1 ), indx = row * width + col, c = 2 - FC( row, col ); col < width - 4; col += 2, indx += 2 ) {
|
||||
|
||||
//Diagonal gradients
|
||||
float NW_Grad = eps + fabs( rgb[indx - w1 - 1][c] - rgb[indx + w1 + 1][c] ) + fabs( rgb[indx - w1 - 1][c] - rgb[indx - w3 - 3][c] ) + fabs( rgb[indx][1] - rgb[indx - w2 - 2][1] );
|
||||
float NE_Grad = eps + fabs( rgb[indx - w1 + 1][c] - rgb[indx + w1 - 1][c] ) + fabs( rgb[indx - w1 + 1][c] - rgb[indx - w3 + 3][c] ) + fabs( rgb[indx][1] - rgb[indx - w2 + 2][1] );
|
||||
float SW_Grad = eps + fabs( rgb[indx + w1 - 1][c] - rgb[indx - w1 + 1][c] ) + fabs( rgb[indx + w1 - 1][c] - rgb[indx + w3 - 3][c] ) + fabs( rgb[indx][1] - rgb[indx + w2 - 2][1] );
|
||||
float SE_Grad = eps + fabs( rgb[indx + w1 + 1][c] - rgb[indx - w1 - 1][c] ) + fabs( rgb[indx + w1 + 1][c] - rgb[indx + w3 + 3][c] ) + fabs( rgb[indx][1] - rgb[indx + w2 + 2][1] );
|
||||
|
||||
//Diagonal colour differences
|
||||
float NW_Est = rgb[indx - w1 - 1][c] - rgb[indx - w1 - 1][1];
|
||||
float NE_Est = rgb[indx - w1 + 1][c] - rgb[indx - w1 + 1][1];
|
||||
float SW_Est = rgb[indx + w1 - 1][c] - rgb[indx + w1 - 1][1];
|
||||
float SE_Est = rgb[indx + w1 + 1][c] - rgb[indx + w1 + 1][1];
|
||||
|
||||
//Interpolate R@B and B@R
|
||||
float P_Est = ( NW_Grad * SE_Est + SE_Grad * NW_Est ) / ( NW_Grad + SE_Grad );
|
||||
float Q_Est = ( NE_Grad * SW_Est + SW_Grad * NE_Est ) / ( NE_Grad + SW_Grad );
|
||||
|
||||
rgb[indx][c] = LIM( rgb[indx][1] + ( 1.0f - PQ_Disc[indx] ) * P_Est + PQ_Disc[indx] * Q_Est, 0.f, 1.f );
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
// RT ---------------------------------------------------------------------
|
||||
if (plistener) {
|
||||
plistener->setProgress(0.825);
|
||||
}
|
||||
// -------------------------------------------------------------------------
|
||||
|
||||
#ifdef _OPENMP
|
||||
#pragma omp parallel for
|
||||
#endif
|
||||
for ( int row = 4; row < height - 4; row++ ) {
|
||||
for ( int col = 4 + ( FC( row, 1 )&1 ), indx = row * width + col; col < width - 4; col += 2, indx += 2 ) {
|
||||
|
||||
for ( int c = 0; c <= 2; c += 2 ) {
|
||||
|
||||
//Cardinal gradients
|
||||
float N_Grad = eps + fabs( rgb[indx][1] - rgb[indx - w2][1] ) + fabs( rgb[indx - w1][c] - rgb[indx + w1][c] ) + fabs( rgb[indx - w1][c] - rgb[indx - w3][c] );
|
||||
float S_Grad = eps + fabs( rgb[indx][1] - rgb[indx + w2][1] ) + fabs( rgb[indx + w1][c] - rgb[indx - w1][c] ) + fabs( rgb[indx + w1][c] - rgb[indx + w3][c] );
|
||||
float W_Grad = eps + fabs( rgb[indx][1] - rgb[indx - 2][1] ) + fabs( rgb[indx - 1][c] - rgb[indx + 1][c] ) + fabs( rgb[indx - 1][c] - rgb[indx - 3][c] );
|
||||
float E_Grad = eps + fabs( rgb[indx][1] - rgb[indx + 2][1] ) + fabs( rgb[indx + 1][c] - rgb[indx - 1][c] ) + fabs( rgb[indx + 1][c] - rgb[indx + 3][c] );
|
||||
|
||||
//Cardinal colour differences
|
||||
float N_Est = rgb[indx - w1][c] - rgb[indx - w1][1];
|
||||
float S_Est = rgb[indx + w1][c] - rgb[indx + w1][1];
|
||||
float W_Est = rgb[indx - 1][c] - rgb[indx - 1][1];
|
||||
float E_Est = rgb[indx + 1][c] - rgb[indx + 1][1];
|
||||
|
||||
//Interpolate R@G and B@G
|
||||
float V_Est = ( N_Grad * S_Est + S_Grad * N_Est ) / ( N_Grad + S_Grad );
|
||||
float H_Est = ( E_Grad * W_Est + W_Grad * E_Est ) / ( E_Grad + W_Grad );
|
||||
|
||||
rgb[indx][c] = LIM( rgb[indx][1] + ( 1.0f - VH_Disc[indx] ) * V_Est + VH_Disc[indx] * H_Est, 0.f, 1.f );
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
free( PQ_Disc );
|
||||
free( VH_Disc );
|
||||
|
||||
// RT ---------------------------------------------------------------------
|
||||
if (plistener) {
|
||||
plistener->setProgress(0.95);
|
||||
}
|
||||
|
||||
#ifdef _OPENMP
|
||||
#pragma omp parallel for
|
||||
#endif
|
||||
for (int row = 0; row < height; ++row) {
|
||||
for (int col = 0, idx = row * width + col ; col < width; ++col, ++idx) {
|
||||
red[row][col] = CLIP(rgb[idx][0] * 65535.f);
|
||||
green[row][col] = CLIP(rgb[idx][1] * 65535.f);
|
||||
blue[row][col] = CLIP(rgb[idx][2] * 65535.f);
|
||||
}
|
||||
}
|
||||
|
||||
if (plistener) {
|
||||
plistener->setProgress(1);
|
||||
}
|
||||
// -------------------------------------------------------------------------
|
||||
}
|
||||
|
||||
#define fcol(row,col) xtrans[(row)%6][(col)%6]
|
||||
#define isgreen(row,col) (xtrans[(row)%3][(col)%3]&1)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user