/* See LICENSE file for copyright and license details. */ #include "stream.h" #include "util.h" #include #include #include #include #include #include USAGE("[-j jobs] [-s spread | -s 'auto'] [-achvy] sd-stream") static int chroma = 0; static int noalpha = 0; static int vertical = 0; static int horizontal = 0; static int measure_y_only = 0; static int auto_spread = 0; static size_t jobs = 1; static size_t spread = 0; static void process_xyza(char *restrict output, char *restrict cbuf, char *restrict sbuf, struct stream *colour, struct stream *sigma, size_t cn, size_t sn) { typedef double pixel_t[4]; pixel_t *restrict clr = (pixel_t *)cbuf; pixel_t *restrict sig = (pixel_t *)sbuf; pixel_t *img = (pixel_t *)output; pixel_t c, k; size_t x1, y1, i1, x2, y2, i2; double d, m, X, Z; int i, blurred, blur[3] = {0, 0, 0}; size_t start, end, x2start, x2end, y2start, y2end; int is_master; pid_t *children; X = D65_XYY_X / D65_XYY_Y; Z = 1 / D65_XYY_Y - 1 - X; y2start = x2start = 0; x2end = colour->width; y2end = colour->height; if (chroma || !noalpha) { start = 0, end = colour->height; is_master = efork_jobs(&start, &end, jobs, &children); /* premultiply alpha channel */ if (!noalpha) { i1 = start * colour->width; for (y1 = start; y1 < end; y1++) { for (x1 = 0; x1 < colour->width; x1++, i1++) { clr[i1][0] *= clr[i1][3]; clr[i1][1] *= clr[i1][3]; clr[i1][2] *= clr[i1][3]; } } } /* convert colour model */ if (chroma) { i1 = start * colour->width; for (y1 = start; y1 < end; y1++) { for (x1 = 0; x1 < colour->width; x1++, i1++) { clr[i1][0] = clr[i1][0] / X - clr[i1][1]; clr[i1][2] = clr[i1][2] / Z - clr[i1][1]; /* * Explaination: * Y is the luma and ((X / Xn - Y / Yn), (Z / Zn - Y / Yn)) * is the chroma (according to CIELAB), where (Xn, Yn, Zn) * is the white point. */ } } } /* Conversion makes no difference if blur is applied to all * parameters: * * Gaussian blur: * * ∞ ∞ * ⌠ ⌠ V(x,y) −((x−x₀)² + (y−y₀)²)/(2σ²) * V′ (x₀,y₀) = │ │ ────── e dxdy * σ ⌡ ⌡ 2πσ² * −∞ −∞ * * With linear transformation, F: * * ∞ ∞ * ⌠ ⌠ F(V(x,y)) −((x−x₀)² + (y−y₀)²)/(2σ²) * V′ (x₀,y₀) = F⁻¹ │ │ ───────── e dxdy * σ ⌡ ⌡ 2πσ² * −∞ −∞ * * ∞ ∞ * ⌠ ⌠ ⎛V(x,y) −((x−x₀)² + (y−y₀)²)/(2σ²)⎞ * V′ (x₀,y₀) = F⁻¹ │ │ F⎜────── e ⎟ dxdy * σ ⌡ ⌡ ⎝ 2πσ² ⎠ * −∞ −∞ * * ∞ ∞ * ⌠ ⌠ V(x,y) −((x−x₀)² + (y−y₀)²)/(2σ²) * V′ (x₀,y₀) = (F⁻¹ ∘ F) │ │ ────── e dxdy * σ ⌡ ⌡ 2πσ² * −∞ −∞ * * ∞ ∞ * ⌠ ⌠ V(x,y) −((x−x₀)² + (y−y₀)²)/(2σ²) * V′ (x₀,y₀) = │ │ ────── e dxdy * σ ⌡ ⌡ 2πσ² * −∞ −∞ * * Just like expected, the colour space should not affect the * result of guassian blur as long as it is linear. */ ejoin_jobs(is_master, children); } /* * This is not a regular simple gaussian blur implementation. * This implementation is able to apply different levels of * blur on different pixels. It's therefore written a bit * oldly. Instead of going through each pixel and calculate * the new value for each pixel, it goes through each pixel * and smears it out to the other pixels. */ #define BLUR_PIXEL_PROLOGUE(DIR)\ if (sig[i1][3] == 0)\ goto no_blur_##DIR;\ if (chroma || measure_y_only) {\ k[0] = sig[i1][1] * sig[i1][3];\ if (auto_spread)\ spread = k[0] > 0 ? (size_t)(k[0] * 3 + 0.5) : 0;\ blur[2] = blur[0] = k[0] > 0;\ c[0] = k[0] *= k[0] * 2, c[0] = sqrt(c[0] * M_PI);\ k[0] = 1 / -k[0], c[0] = 1 / c[0];\ if (chroma) {\ k[2] = k[0];\ c[2] = c[0];\ c[1] = k[1] = 0;\ blur[1] = 0;\ } else {\ k[2] = k[1] = k[0];\ c[2] = c[1] = c[0];\ blur[1] = blur[0];\ }\ } else {\ if (auto_spread)\ spread = 0;\ for (i = 0; i < 3; i++) {\ k[i] = sig[i1][i] * sig[i1][3];\ if (auto_spread && k[i] > 0 && spread < (size_t)(k[i] * 3 + 0.5))\ spread = (size_t)(k[i] * 3 + 0.5);\ blur[i] = k[i] > 0;\ c[i] = k[i] *= k[i] * 2, c[i] = sqrt(c[i] * M_PI);\ k[i] = 1 / -k[i], c[i] = 1 / c[i];\ }\ }\ if (blur[0] + blur[1] + blur[2] == 0)\ goto no_blur_##DIR;\ if (auto_spread && spread < 1)\ spread = 1; #define BLUR_PIXEL(START, LOOP, DISTANCE)\ if (k[0] == k[1] && k[1] == k[2]) {\ START;\ for (LOOP) {\ d = (DISTANCE);\ d *= d;\ m = c[0] * exp(d * k[0]);\ img[i2][0] += clr[i1][0] * m;\ img[i2][1] += clr[i1][1] * m;\ img[i2][2] += clr[i1][2] * m;\ img[i2][3] += clr[i1][3] * m;\ }\ } else {\ blurred = 0;\ for (i = 0; i < 3; i++) {\ if (blur[i])\ blurred += 1;\ else\ img[i1][i] += clr[i1][i];\ }\ for (i = 0; i < 3; i++) {\ if (!blur[i])\ continue;\ START;\ for (LOOP) {\ d = (DISTANCE);\ d *= d;\ m = c[i] * exp(d * k[i]);\ img[i2][i] += clr[i1][i] * m;\ img[i2][3] += clr[i1][3] * m / blurred;\ }\ }\ } #define BLUR_PIXEL_EPILOGUE(DIR)\ continue;\ no_blur_##DIR:\ img[i1][0] = clr[i1][0];\ img[i1][1] = clr[i1][1];\ img[i1][2] = clr[i1][2];\ img[i1][3] = clr[i1][3]; #define BLUR(DIR, SETSTART, SETEND, START, LOOP, DISTANCE)\ do {\ memset(img, 0, cn);\ start = 0, end = colour->height;\ is_master = efork_jobs(&start, &end, jobs, &children);\ if (noalpha) {\ i1 = start * colour->width;\ for (y1 = start; y1 < end; y1++)\ for (x1 = 0; x1 < colour->width; x1++, i1++)\ img[i1][3] = 1;\ }\ i1 = start * colour->width;\ for (y1 = start; y1 < end; y1++) {\ for (x1 = 0; x1 < colour->width; x1++, i1++) {\ BLUR_PIXEL_PROLOGUE(DIR);\ if (spread) {\ SETSTART;\ SETEND;\ }\ BLUR_PIXEL(START, LOOP, DISTANCE);\ BLUR_PIXEL_EPILOGUE(DIR);\ }\ }\ ejoin_jobs(is_master, children);\ } while (0) /* blur */ if (horizontal) BLUR(horizontal, x2start = spread > x1 ? 0 : x1 - spread, x2end = spread + 1 > colour->width - x1 ? colour->width : x1 + spread + 1, i2 = y1 * colour->width + x2start, x2 = x2start; x2 < x2end; (x2++, i2++), (ssize_t)x1 - (ssize_t)x2); if (horizontal && vertical) memcpy(clr, img, cn); if (vertical) BLUR(vertical, y2start = spread > y1 ? 0 : y1 - spread, y2end = spread + 1 > colour->height - y1 ? colour->height : y1 + spread + 1, i2 = y2start * colour->width + x1, y2 = y2start; y2 < y2end; (y2++, i2 += colour->width), (ssize_t)y1 - (ssize_t)y2); start = 0, end = colour->height; is_master = efork_jobs(&start, &end, jobs, &children); /* convert back to CIE XYZ */ if (chroma) { i1 = start * colour->width; for (y1 = start; y1 < end; y1++) { for (x1 = 0; x1 < colour->width; x1++, i1++) { img[i1][0] = (img[i1][0] + img[i1][1]) * X; img[i1][2] = (img[i1][2] + img[i1][1]) * Z; } } } /* unpremultiply alpha channel */ i1 = start * colour->width; for (y1 = start; y1 < end; y1++) { for (x1 = 0; x1 < colour->width; x1++, i1++) { if (!img[i1][3]) continue; img[i1][0] /= img[i1][3]; img[i1][1] /= img[i1][3]; img[i1][2] /= img[i1][3]; } } /* ensure the video if opaque if -a was used */ if (!noalpha) { i1 = start * colour->width; for (y1 = start; y1 < end; y1++) for (x1 = 0; x1 < colour->width; x1++, i1++) img[i1][3] = 1; } ejoin_jobs(is_master, children); (void) sigma; (void) sn; } int main(int argc, char *argv[]) { struct stream colour, sigma; char *arg; void (*process)(char *restrict output, char *restrict cbuf, char *restrict sbuf, struct stream *colour, struct stream *sigma, size_t cn, size_t sn); ARGBEGIN { case 'a': noalpha = 1; break; case 'c': chroma = 1; break; case 'h': horizontal = 1; break; case 'v': vertical = 1; break; case 'y': measure_y_only = 1; break; case 'j': jobs = etozu_flag('j', UARGF(), 1, SHRT_MAX); break; case 's': arg = UARGF(); if (!strcmp(arg, "auto")) auto_spread = 1; else spread = etozu_flag('s', arg, 1, SIZE_MAX); break; default: usage(); } ARGEND; if (argc != 1) usage(); if (!vertical && !horizontal) vertical = horizontal = 1; eopen_stream(&colour, NULL); eopen_stream(&sigma, argv[0]); if (!strcmp(colour.pixfmt, "xyza")) process = process_xyza; else eprintf("pixel format %s is not supported, try xyza\n", colour.pixfmt); echeck_compat(&colour, &sigma); if (jobs > colour.height) jobs = colour.height; fprint_stream_head(stdout, &colour); efflush(stdout, ""); process_each_frame_two_streams(&colour, &sigma, STDOUT_FILENO, "", process); return 0; }