Added option to panel; Optimized code, but new version does not support omp
This commit is contained in:
@@ -654,6 +654,7 @@ TP_RESIZE_FULLSIZE;Full Image Size:
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TP_RESIZE_H;H:
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TP_RESIZE_HEIGHT;Height
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TP_RESIZE_LABEL;Resize
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TP_RESIZE_LANCZOS;Lanczos
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TP_RESIZE_METHOD;Method:
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TP_RESIZE_NEAREST;Nearest
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TP_RESIZE_SCALE;Scale
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@@ -35,7 +35,7 @@ namespace rtengine {
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#define CLIP(a) ((a)>0?((a)<CMAXVAL?(a):CMAXVAL):0)
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#define CLIPTO(a,b,c) ((a)>(b)?((a)<(c)?(a):(c)):(b))
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double Lanc(double x, double a)
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inline double Lanc(double x, double a)
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{
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if (x * x < 1e-6)
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return 1.0;
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@@ -47,110 +47,234 @@ double Lanc(double x, double a)
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}
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}
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void Lanczos1(Image16* src, Image16* dst, double scale)
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{
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const double delta = 1.0 / scale;
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const double a = 3.0;
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const double sc = std::min(scale, 1.0);
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const int support = (int)(2.0 * a / sc) + 1;
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Image16 * tmp = new Image16(src->width, dst->height);
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#pragma omp parallel for
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for (int i = 0; i < tmp->height; i++) {
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// y coord of the center of pixel on src image
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double y0 = (i + 0.5) * delta - 0.5;
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// weights for interpolation in y direction
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double w[support];
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// sum of weights used for normalization
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double ww = 0.0;
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int ii0 = std::max(0, (int)floor(y0 - a / sc) + 1);
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int ii1 = std::min(src->height, (int)floor(y0 + a / sc) + 1);
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// calculate weights
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for (int ii = ii0; ii < ii1; ii++) {
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int k = ii - ii0;
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double z = sc * (y0 - ii);
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w[k] = Lanc(z, a);
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ww += w[k];
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}
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// normalize weights
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for (int k = 0; k < support; k++) {
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w[k] /= ww;
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}
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for (int j = 0; j < tmp->width; j++) {
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double r = 0.0, g = 0.0, b = 0.0;
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for (int ii = ii0; ii < ii1; ii++) {
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int k = ii - ii0;
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r += w[k] * src->r[ii][j];
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g += w[k] * src->g[ii][j];
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b += w[k] * src->b[ii][j];
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}
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tmp->r[i][j] = CLIP((int)r);
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tmp->g[i][j] = CLIP((int)g);
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tmp->b[i][j] = CLIP((int)b);
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}
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}
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#pragma omp parallel for
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for (int j = 0; j < dst->width; j++) {
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// x coord of the center of pixel on src image
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double x0 = (j + 0.5) * delta - 0.5;
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// weights for interpolation in y direction
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double w[support];
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// sum of weights used for normalization
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double ww = 0.0;
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int jj0 = std::max(0, (int)floor(x0 - a / sc) + 1);
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int jj1 = std::min(tmp->width, (int)floor(x0 + a / sc) + 1);
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// calculate weights
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for (int jj = jj0; jj < jj1; jj++) {
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int k = jj - jj0;
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double z = sc * (x0 - jj);
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w[k] = Lanc(z, a);
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ww += w[k];
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}
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// normalize weights
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for (int k = 0; k < support; k++) {
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w[k] /= ww;
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}
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for (int i = 0; i < dst->height; i++) {
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double r = 0.0, g = 0.0, b = 0.0;
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for (int jj = jj0; jj < jj1; jj++) {
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int k = jj - jj0;
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r += w[k] * tmp->r[i][jj];
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g += w[k] * tmp->g[i][jj];
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b += w[k] * tmp->b[i][jj];
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}
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dst->r[i][j] = CLIP((int)r);
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dst->g[i][j] = CLIP((int)g);
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dst->b[i][j] = CLIP((int)b);
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}
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}
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delete tmp;
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}
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void Lanczos2(Image16* src, Image16* dst, double scale)
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{
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const double delta = 1.0 / scale;
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const double a = 3.0;
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const double sc = std::min(scale, 1.0);
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const int support = (int)(2.0 * a / sc) + 1;
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double * wwh = new double[support * dst->width];
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int * jj0 = new int[dst->width];
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int * jj1 = new int[dst->width];
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double * lr = new double[src->width];
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double * lg = new double[src->width];
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double * lb = new double[src->width];
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// Phase 1: precompute coefficients for horisontal interpolation
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for (int j = 0; j < dst->width; j++) {
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// x coord of the center of pixel on src image
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double x0 = (j + 0.5) * delta - 0.5;
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// weights for interpolation in horisontal direction
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double * w = wwh + j * support;
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// sum of weights used for normalization
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double ws = 0.0;
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jj0[j] = std::max(0, (int)floor(x0 - a / sc) + 1);
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jj1[j] = std::min(src->width, (int)floor(x0 + a / sc) + 1);
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// calculate weights
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for (int jj = jj0[j]; jj < jj1[j]; jj++) {
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int k = jj - jj0[j];
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double z = sc * (x0 - jj);
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w[k] = Lanc(z, a);
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ws += w[k];
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}
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// normalize weights
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for (int k = 0; k < support; k++) {
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w[k] /= ws;
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}
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}
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// phase2: do actual interpolation
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for (int i = 0; i < dst->height; i++) {
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// y coord of the center of pixel on src image
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double y0 = (i + 0.5) * delta - 0.5;
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// weights for interpolation in y direction
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double w[support];
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// sum of weights used for normalization
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double ws= 0.0;
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int ii0 = std::max(0, (int)floor(y0 - a / sc) + 1);
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int ii1 = std::min(src->height, (int)floor(y0 + a / sc) + 1);
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// calculate weights
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for (int ii = ii0; ii < ii1; ii++) {
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int k = ii - ii0;
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double z = sc * (y0 - ii);
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w[k] = Lanc(z, a);
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ws += w[k];
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}
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// normalize weights
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for (int k = 0; k < support; k++) {
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w[k] /= ws;
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}
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// Do vertical interpolation. Store results.
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for (int j = 0; j < src->width; j++) {
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double r = 0.0, g = 0.0, b = 0.0;
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for (int ii = ii0; ii < ii1; ii++) {
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int k = ii - ii0;
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r += w[k] * src->r[ii][j];
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g += w[k] * src->g[ii][j];
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b += w[k] * src->b[ii][j];
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}
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lr[j] = r;
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lg[j] = g;
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lb[j] = b;
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}
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//Do horisontal interpolation
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for(int j = 0; j < dst->width; j++) {
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double * wh = wwh + support * j;
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double r = 0.0, g = 0.0, b = 0.0;
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for (int jj = jj0[j]; jj < jj1[j]; jj++) {
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int k = jj - jj0[j];
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r += wh[k] * lr[jj];
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g += wh[k] * lg[jj];
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b += wh[k] * lb[jj];
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}
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dst->r[i][j] = CLIP((int)r);
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dst->g[i][j] = CLIP((int)g);
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dst->b[i][j] = CLIP((int)b);
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}
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}
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delete[] wwh;
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delete[] jj0;
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delete[] jj1;
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delete[] lr;
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delete[] lg;
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delete[] lb;
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}
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void ImProcFunctions::resize (Image16* src, Image16* dst) {
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time_t t1 = clock();
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if(params->resize.method == "Lanczos") {
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const double delta = 1.0 / params->resize.scale;
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const double a = 3.0;
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const double sc = std::min(params->resize.scale, 1.0);
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const int support = (int)(2.0 * a / sc) + 1;
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Image16 * tmp = new Image16(src->width, dst->height);
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//#pragma omp parallel for
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for (int i = 0; i < tmp->height; i++) {
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// y coord of the center of pixel on src image
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double y0 = (i + 0.5) * delta - 0.5;
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// weights for interpolation in y direction
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double w[support];
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// sum of weights used for normalization
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double ww = 0.0;
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int ii0 = std::max(0, (int)floor(y0 - a / sc) + 1);
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int ii1 = std::min(src->height, (int)floor(y0 + a / sc) + 1);
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// calculate weights
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for (int ii = ii0; ii < ii1; ii++) {
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int k = ii - ii0;
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double z = sc * (y0 - ii);
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w[k] = Lanc(z, a);
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ww += w[k];
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}
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// normalize weights
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for (int k = 0; k < support; k++) {
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w[k] /= ww;
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}
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for (int j = 0; j < tmp->width; j++) {
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double r = 0.0, g = 0.0, b = 0.0;
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for (int ii = ii0; ii < ii1; ii++) {
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int k = ii - ii0;
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r += w[k] * src->r[ii][j];
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g += w[k] * src->g[ii][j];
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b += w[k] * src->b[ii][j];
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}
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tmp->r[i][j] = CLIP((int)r);
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tmp->g[i][j] = CLIP((int)g);
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tmp->b[i][j] = CLIP((int)b);
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}
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}
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//#pragma omp parallel for
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for (int j = 0; j < dst->width; j++) {
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// x coord of the center of pixel on src image
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double x0 = (j + 0.5) * delta - 0.5;
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// weights for interpolation in y direction
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double w[support];
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// sum of weights used for normalization
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double ww = 0.0;
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int jj0 = std::max(0, (int)floor(x0 - a / sc) + 1);
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int jj1 = std::min(tmp->width, (int)floor(x0 + a / sc) + 1);
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// calculate weights
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for (int jj = jj0; jj < jj1; jj++) {
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int k = jj - jj0;
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double z = sc * (x0 - jj);
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w[k] = Lanc(z, a);
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ww += w[k];
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}
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// normalize weights
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for (int k = 0; k < support; k++) {
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w[k] /= ww;
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}
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for (int i = 0; i < dst->height; i++) {
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double r = 0.0, g = 0.0, b = 0.0;
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for (int jj = jj0; jj < jj1; jj++) {
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int k = jj - jj0;
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r += w[k] * tmp->r[i][jj];
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g += w[k] * tmp->g[i][jj];
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b += w[k] * tmp->b[i][jj];
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}
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dst->r[i][j] = CLIP((int)r);
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dst->g[i][j] = CLIP((int)g);
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dst->b[i][j] = CLIP((int)b);
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}
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}
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delete tmp;
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Lanczos2(src, dst, params->resize.scale);
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}
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else if(params->resize.method == "Downscale (Better)") {
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// small-scale algorithm by Ilia
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@@ -403,6 +527,10 @@ void ImProcFunctions::resize (Image16* src, Image16* dst) {
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}
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}
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}
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time_t t2 = clock();
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std::cout << "Resize: " << params->resize.method << ": "
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<< (double)(t2 - t1) / CLOCKS_PER_SEC << std::endl;
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}
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}
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@@ -39,6 +39,7 @@ Resize::Resize () : maxw(100000), maxh(100000) {
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method->append_text (M("TP_RESIZE_BICUBICSH"));
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method->append_text (M("TP_RESIZE_DOWNSCALEB"));
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method->append_text (M("TP_RESIZE_DOWNSCALEF"));
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method->append_text (M("TP_RESIZE_LANCZOS"));
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method->set_active (0);
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combos->attach (*Gtk::manage (new Gtk::Label (M("TP_RESIZE_METHOD"))), 0, 1, 0, 1, Gtk::SHRINK, Gtk::SHRINK, 2, 2);
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@@ -130,6 +131,8 @@ void Resize::read (const ProcParams* pp, const ParamsEdited* pedited) {
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method->set_active (5);
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else if (pp->resize.method == "Downscale (Faster)")
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method->set_active (6);
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else if (pp->resize.method == "Lanczos")
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method->set_active (7);
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wDirty = false;
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hDirty = false;
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@@ -170,6 +173,8 @@ void Resize::write (ProcParams* pp, ParamsEdited* pedited) {
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pp->resize.method = "Downscale (Better)";
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else if (method->get_active_row_number() == 6)
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pp->resize.method = "Downscale (Faster)";
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else if (method->get_active_row_number() == 7)
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pp->resize.method = "Lanczos";
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pp->resize.dataspec = spec->get_active_row_number();
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pp->resize.width = round (w->get_value ());
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