OpenMP for faster implementation of pyramid schemes ;-)
This commit is contained in:
@@ -269,9 +269,7 @@ namespace rtengine {
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int width = data_fine->W;
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int height = data_fine->H;
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float dirwt_l, dirwt_ab, norm_l, norm_ab;
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//float lops,aops,bops;
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float Lout, aout, bout;
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//generate domain kernel
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@@ -286,7 +284,11 @@ namespace rtengine {
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}*/
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//float domker[5][5] = {{1,1,1,1,1},{1,2,2,2,1},{1,2,4,2,1},{1,2,2,2,1},{1,1,1,1,1}};
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for(int i = 0, i1=0; i < height; i+=pitch, i1++) {
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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 i = 0; i < height; i+=pitch ) { int i1=i/pitch;
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for(int j = 0, j1=0; j < width; j+=pitch, j1++)
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{
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//norm = DIRWT(i, j, i, j);
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@@ -294,6 +296,9 @@ namespace rtengine {
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//aout = -norm*data_fine->a[i][j];
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//bout = -norm*data_fine->b[i][j];
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//or
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float dirwt_l, dirwt_ab, norm_l, norm_ab;
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//float lops,aops,bops;
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float Lout, aout, bout;
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norm_l = norm_ab = 0;//if we do want to include the input pixel in the sum
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Lout = 0;
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aout = 0;
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@@ -339,9 +344,6 @@ namespace rtengine {
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int height = data_fine->H;
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//float eps = 0.0;
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double wtdsum[3], norm;
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float hipass[3], hpffluct[3], tonefactor, nrfactor;
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int i, j, ix, jx;
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// c[0] noise_L
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// c[1] noise_ab (relative to noise_L)
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@@ -387,9 +389,14 @@ namespace rtengine {
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if (pitch==1) {
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// step (1-2-3-4)
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for( i = 0; i < height; i++)
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for( j = 0; j < width; j++) {
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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 i = 0; i < height; i++)
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for(int j = 0; j < width; j++) {
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double wtdsum[3], norm;
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float hipass[3], hpffluct[3], tonefactor, nrfactor;
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tonefactor = ((NRWT_L(data_coarse->L[i][j])));
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//Wiener filter
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@@ -420,25 +427,37 @@ namespace rtengine {
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LabImage* smooth;
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smooth = new LabImage(width, height);
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for( i = 0, ix=0; i < height; i+=pitch, ix++)
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for( j = 0, jx=0; j < width; j+=pitch, jx++) {
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#ifdef _OPENMP
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#pragma omp parallel
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#endif
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{
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#ifdef _OPENMP
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#pragma omp for
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#endif
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for(int i = 0; i < height; i+=pitch)
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{
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int ix=i/pitch;
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for(int j = 0, jx=0; j < width; j+=pitch, jx++) {
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//copy common pixels
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smooth->L[i][j] = data_coarse->L[ix][jx];
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smooth->a[i][j] = data_coarse->a[ix][jx];
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smooth->b[i][j] = data_coarse->b[ix][jx];
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}
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}
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//if (pitch>1) {//pitch=2; step (1) expand coarse image, fill in missing data
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for( i = 0; i < height-1; i+=2)
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for( j = 0; j < width-1; j+=2) {
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#ifdef _OPENMP
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#pragma omp for
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#endif
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for(int i = 0; i < height-1; i+=2)
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for(int j = 0; j < width-1; j+=2) {
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//do midpoint first
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norm=0;
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wtdsum[0]=wtdsum[1]=wtdsum[2]=0.0;
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for( ix=i; ix<MIN(height,i+3); ix+=2)
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for ( jx=j; jx<MIN(width,j+3); jx+=2) {
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double norm=0.0,wtdsum[3]={0.0,0.0,0.0};
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//wtdsum[0]=wtdsum[1]=wtdsum[2]=0.0;
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for(int ix=i; ix<MIN(height,i+3); ix+=2)
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for (int jx=j; jx<MIN(width,j+3); jx+=2) {
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wtdsum[0] += smooth->L[ix][jx];
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wtdsum[1] += smooth->a[ix][jx];
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wtdsum[2] += smooth->b[ix][jx];
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@@ -449,20 +468,23 @@ namespace rtengine {
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smooth->a[i+1][j+1]=wtdsum[1]*norm;
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smooth->b[i+1][j+1]=wtdsum[2]*norm;
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}
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#ifdef _OPENMP
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#pragma omp for
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#endif
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for( i = 0; i < height-1; i+=2)
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for( j = 0; j < width-1; j+=2) {
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for(int i = 0; i < height-1; i+=2)
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for(int j = 0; j < width-1; j+=2) {
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//now right neighbor
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if (j+1==width) continue;
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norm=0;
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wtdsum[0]=wtdsum[1]=wtdsum[2]=0.0;
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for (jx=j; jx<MIN(width,j+3); jx+=2) {
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double norm=0.0,wtdsum[3]={0.0,0.0,0.0};
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for (int jx=j; jx<MIN(width,j+3); jx+=2) {
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wtdsum[0] += smooth->L[i][jx];
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wtdsum[1] += smooth->a[i][jx];
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wtdsum[2] += smooth->b[i][jx];
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norm++;
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}
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for (ix=MAX(0,i-1); ix<MIN(height,i+2); ix+=2) {
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for (int ix=MAX(0,i-1); ix<MIN(height,i+2); ix+=2) {
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wtdsum[0] += smooth->L[ix][j+1];
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wtdsum[1] += smooth->a[ix][j+1];
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wtdsum[2] += smooth->b[ix][j+1];
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@@ -475,15 +497,14 @@ namespace rtengine {
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//now down neighbor
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if (i+1==height) continue;
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norm=0;
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wtdsum[0]=wtdsum[1]=wtdsum[2]=0.0;
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for (ix=i; ix<MIN(height,i+3); ix+=2) {
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norm=0.0;wtdsum[0]=wtdsum[1]=wtdsum[2]=0.0;
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for (int ix=i; ix<MIN(height,i+3); ix+=2) {
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wtdsum[0] += smooth->L[ix][j];
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wtdsum[1] += smooth->a[ix][j];
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wtdsum[2] += smooth->b[ix][j];
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norm++;
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}
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for (jx=MAX(0,j-1); jx<MIN(width,j+2); jx+=2) {
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for (int jx=MAX(0,j-1); jx<MIN(width,j+2); jx+=2) {
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wtdsum[0] += smooth->L[i+1][jx];
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wtdsum[1] += smooth->a[i+1][jx];
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wtdsum[2] += smooth->b[i+1][jx];
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@@ -496,13 +517,17 @@ namespace rtengine {
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}
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#ifdef _OPENMP
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#pragma omp for
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#endif
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// step (2-3-4)
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for( i = 0; i < height; i++)
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for( j = 0; j < width; j++) {
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tonefactor = ((NRWT_L(smooth->L[i][j])));
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for( int i = 0; i < height; i++)
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for(int j = 0; j < width; j++) {
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double tonefactor = ((NRWT_L(smooth->L[i][j])));
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//double wtdsum[3], norm;
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float hipass[3], hpffluct[3], nrfactor;
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//Wiener filter
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//luma
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if (level<2) {
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@@ -525,7 +550,7 @@ namespace rtengine {
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data_fine->a[i][j] = hipass[1]+smooth->a[i][j];
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data_fine->b[i][j] = hipass[2]+smooth->b[i][j];
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}
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} // end parallel
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delete smooth;
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}//end of pitch>1
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@@ -288,8 +288,7 @@ namespace rtengine {
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int width = data_fine->W;
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int height = data_fine->H;
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float Lout, aout, bout;
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float dirwt, norm;
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//generate domain kernel
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int halfwin = 1;//MIN(ceil(2*sig),3);
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@@ -304,11 +303,14 @@ namespace rtengine {
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//float domker[5][5] = {{1,1,1,1,1},{1,2,2,2,1},{1,2,4,2,1},{1,2,2,2,1},{1,1,1,1,1}};
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//float domker[3][3] = {{1,1,1},{1,2,1},{1,1,1}};
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for(int i = 0, i1=0; i < height; i+=pitch, i1++) {
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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 i = 0; i < height; i+=pitch) { int i1=i/pitch;
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for(int j = 0, j1=0; j < width; j+=pitch, j1++)
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{
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float Lout, aout, bout;
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float norm;
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norm = 0;//if we do want to include the input pixel in the sum
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Lout = 0;
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aout = 0;
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@@ -316,7 +318,7 @@ namespace rtengine {
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for(int inbr=MAX(0,i-scalewin); inbr<=MIN(height-1,i+scalewin); inbr+=scale) {
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for (int jnbr=MAX(0,j-scalewin); jnbr<=MIN(width-1,j+scalewin); jnbr+=scale) {
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dirwt = DIRWT(inbr, jnbr, i, j);
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float dirwt = DIRWT(inbr, jnbr, i, j);
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Lout += dirwt*data_fine->L[inbr][jnbr];
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aout += dirwt*data_fine->a[inbr][jnbr];
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bout += dirwt*data_fine->b[inbr][jnbr];
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@@ -382,18 +384,21 @@ namespace rtengine {
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if (pitch==1) {
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// step (1-2-3-4)
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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 i = 0; i < height; i++)
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for(int j = 0; j < width; j++) {
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//luma
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hipass[0] = (float)data_fine->L[i][j]-data_coarse->L[i][j];
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buffer[0][i*scale][j*scale] += hipass[0] * lumamult[level];//*luma;
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float hipass0 = (float)data_fine->L[i][j]-data_coarse->L[i][j];
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buffer[0][i*scale][j*scale] += hipass0 * lumamult[level];//*luma;
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//chroma
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hipass[1] = data_fine->a[i][j]-data_coarse->a[i][j];
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hipass[2] = data_fine->b[i][j]-data_coarse->b[i][j];
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buffer[1][i*scale][j*scale] += hipass[1] * chromamult[level]; //*chroma;
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buffer[2][i*scale][j*scale] += hipass[2] * chromamult[level]; //*chroma;
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float hipass1 = data_fine->a[i][j]-data_coarse->a[i][j];
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float hipass2 = data_fine->b[i][j]-data_coarse->b[i][j];
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buffer[1][i*scale][j*scale] += hipass1 * chromamult[level]; //*chroma;
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buffer[2][i*scale][j*scale] += hipass2 * chromamult[level]; //*chroma;
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}
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} else {
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@@ -402,10 +407,16 @@ namespace rtengine {
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//if (pitch>1), pitch=2; expand coarse image, fill in missing data
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LabImage* smooth;
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smooth = new LabImage(width, height);
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for(int i = 0, i2=0; i < height; i+=pitch, i2++)
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#ifdef _OPENMP
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#pragma omp parallel
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#endif
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{
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#ifdef _OPENMP
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#pragma omp for
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#endif
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for(int i = 0; i < height; i+=pitch){ int i2=i/pitch;
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for(int j = 0, j2=0; j < width; j+=pitch, j2++) {
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//copy common pixels
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@@ -413,9 +424,11 @@ namespace rtengine {
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smooth->a[i][j] = data_coarse->a[i2][j2];
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smooth->b[i][j] = data_coarse->b[i2][j2];
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}
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//}
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}
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#ifdef _OPENMP
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#pragma omp for
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#endif
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for(int i = 0; i < height-1; i+=2)
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for(int j = 0; j < width-1; j+=2) {
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//do midpoint first
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@@ -440,7 +453,9 @@ namespace rtengine {
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buffer[1][(i+1)*scale][(j+1)*scale]=wtdsum[4]*norm;
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buffer[2][(i+1)*scale][(j+1)*scale]=wtdsum[5]*norm;
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}
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#ifdef _OPENMP
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#pragma omp for
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#endif
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for(int i = 0; i < height-1; i+=2)
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for(int j = 0; j < width-1; j+=2) {
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//now right neighbor
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@@ -511,6 +526,9 @@ namespace rtengine {
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// step (2-3-4)
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#ifdef _OPENMP
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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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for(int j = 0; j < width; j++) {
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@@ -524,7 +542,7 @@ namespace rtengine {
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buffer[1][i*scale][j*scale] += hipass[1] * chromamult[level]; //*chroma;
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buffer[2][i*scale][j*scale] += hipass[2] * chromamult[level]; //*chroma;
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}
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} // end parallel
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delete smooth;
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}
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@@ -350,7 +350,7 @@ int ProcParams::save (Glib::ustring fname) const {
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{
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std::stringstream ss;
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ss << "Mult" << i;
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keyFile.set_integer("Directional Pyramid Equalizer", ss.str(), dirpyrequalizer.mult[i]);
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keyFile.set_double("Directional Pyramid Equalizer", ss.str(), dirpyrequalizer.mult[i]);
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}
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// save exif change list
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@@ -611,7 +611,7 @@ if (keyFile.has_group ("Directional Pyramid Equalizer")) {
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{
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std::stringstream ss;
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ss << "Mult" << i;
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if(keyFile.has_key ("Directional Pyramid Equalizer", ss.str())) dirpyrequalizer.mult[i] = keyFile.get_integer ("Directional Pyramid Equalizer", ss.str());
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if(keyFile.has_key ("Directional Pyramid Equalizer", ss.str())) dirpyrequalizer.mult[i] = keyFile.get_double ("Directional Pyramid Equalizer", ss.str());
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}
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}
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@@ -146,7 +146,7 @@ void DirPyrEqualizer::write (ProcParams* pp, ParamsEdited* pedited) {
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pp->dirpyrequalizer.enabled = enabled->get_active ();
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for (int i = 0; i < 8; i++) {
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pp->dirpyrequalizer.mult[i] = (int) multiplier[i]->getValue();
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pp->dirpyrequalizer.mult[i] = multiplier[i]->getValue();
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}
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if (pedited) {
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