git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/libpipi/trunk@2670 92316355-f0b4-4df1-b90c-862c8a59935fremotes/tiles
| @@ -35,14 +35,14 @@ | |||
| /* FIXME: though the algorithm is supposed to stop, we do not have a real, | |||
| * guaranteed stop condition here. */ | |||
| pipi_image_t *pipi_dither_dbs(pipi_image_t *src) | |||
| pipi_image_t *pipi_dither_dbs(pipi_image_t *img) | |||
| { | |||
| double kernel[NN * NN]; | |||
| double t = 0.; | |||
| pipi_image_t *dst, *tmp1, *tmp2; | |||
| pipi_pixels_t *srcp, *dstp, *tmp1p, *tmp2p; | |||
| pipi_image_t *src, *dst, *tmp1, *tmp2; | |||
| pipi_pixels_t *dstp, *tmp1p, *tmp2p; | |||
| int *changelist; | |||
| float *srcdata, *dstdata, *tmp1data, *tmp2data; | |||
| float *dstdata, *tmp1data, *tmp2data; | |||
| int i, j, x, y, w, h, cw, ch; | |||
| /* Build our human visual system kernel. */ | |||
| @@ -61,31 +61,26 @@ pipi_image_t *pipi_dither_dbs(pipi_image_t *src) | |||
| for(i = 0; i < NN; i++) | |||
| kernel[j * NN + i] /= t; | |||
| w = src->w; | |||
| h = src->h; | |||
| w = img->w; | |||
| h = img->h; | |||
| cw = (w + CELL - 1) / CELL; | |||
| ch = (h + CELL - 1) / CELL; | |||
| changelist = malloc(cw * ch * sizeof(int)); | |||
| memset(changelist, 0, cw * ch * sizeof(int)); | |||
| srcp = pipi_getpixels(src, PIPI_PIXELS_Y_F); | |||
| srcdata = (float *)srcp->pixels; | |||
| src = pipi_copy(img); | |||
| pipi_getpixels(src, PIPI_PIXELS_Y_F); | |||
| tmp1 = pipi_convolution(src, NN, NN, kernel); | |||
| tmp1p = pipi_getpixels(tmp1, PIPI_PIXELS_Y_F); | |||
| tmp1data = (float *)tmp1p->pixels; | |||
| /* The initial dither is an empty image. So is its blurred version, | |||
| * but I leave the pipi_convolution() call here in case we choose | |||
| * to change the way to create the initial dither. */ | |||
| dst = pipi_new(w, h); | |||
| dst = pipi_dither_floydsteinberg(src, PIPI_SCAN_SERPENTINE); | |||
| dstp = pipi_getpixels(dst, PIPI_PIXELS_Y_F); | |||
| dstdata = (float *)dstp->pixels; | |||
| for(y = 0; y < h; y++) | |||
| for(x = 0; x < w; x++) | |||
| dstdata[y * w + x] = srcdata[y * w + x] > 0.5 ? 1.0 : 0.0; | |||
| pipi_free(src); | |||
| tmp2 = pipi_convolution(dst, NN, NN, kernel); | |||
| tmp2p = pipi_getpixels(tmp2, PIPI_PIXELS_Y_F); | |||
| @@ -22,20 +22,17 @@ | |||
| #include "pipi.h" | |||
| #include "pipi_internals.h" | |||
| pipi_image_t *pipi_dither_floydsteinberg(pipi_image_t *src, pipi_scan_t scan) | |||
| pipi_image_t *pipi_dither_floydsteinberg(pipi_image_t *img, pipi_scan_t scan) | |||
| { | |||
| pipi_image_t *dst; | |||
| pipi_pixels_t *srcp, *dstp; | |||
| float *srcdata, *dstdata; | |||
| pipi_pixels_t *dstp; | |||
| float *dstdata; | |||
| int x, y, w, h; | |||
| w = src->w; | |||
| h = src->h; | |||
| w = img->w; | |||
| h = img->h; | |||
| srcp = pipi_getpixels(src, PIPI_PIXELS_Y_F); | |||
| srcdata = (float *)srcp->pixels; | |||
| dst = pipi_new(w, h); | |||
| dst = pipi_copy(img); | |||
| dstp = pipi_getpixels(dst, PIPI_PIXELS_Y_F); | |||
| dstdata = (float *)dstp->pixels; | |||
| @@ -49,7 +46,7 @@ pipi_image_t *pipi_dither_floydsteinberg(pipi_image_t *src, pipi_scan_t scan) | |||
| int x2 = reverse ? w - 1 - x : x; | |||
| int s = reverse ? -1 : 1; | |||
| p = srcdata[y * w + x2]; | |||
| p = dstdata[y * w + x2]; | |||
| q = p < 0.5 ? 0. : 1.; | |||
| dstdata[y * w + x2] = q; | |||
| @@ -57,14 +54,14 @@ pipi_image_t *pipi_dither_floydsteinberg(pipi_image_t *src, pipi_scan_t scan) | |||
| * error diffusion kernel for serpentine scan. */ | |||
| e = p - q; | |||
| if(x < w - 1) | |||
| srcdata[y * w + x2 + s] += e * .4375; | |||
| dstdata[y * w + x2 + s] += e * .4375; | |||
| if(y < h - 1) | |||
| { | |||
| if(x > 0) | |||
| srcdata[(y + 1) * w + x2 - s] += e * .1875; | |||
| srcdata[(y + 1) * w + x2] += e * .3125; | |||
| dstdata[(y + 1) * w + x2 - s] += e * .1875; | |||
| dstdata[(y + 1) * w + x2] += e * .3125; | |||
| if(x < w - 1) | |||
| srcdata[(y + 1) * w + x2 + s] += e * .0625; | |||
| dstdata[(y + 1) * w + x2 + s] += e * .0625; | |||
| } | |||
| } | |||
| } | |||
| @@ -34,20 +34,17 @@ static const int kernel8x8[8 * 8] = | |||
| 63, 31, 55, 23, 61, 29, 53, 21, | |||
| }; | |||
| pipi_image_t *pipi_dither_ordered(pipi_image_t *src) | |||
| pipi_image_t *pipi_dither_ordered(pipi_image_t *img) | |||
| { | |||
| pipi_image_t *dst; | |||
| pipi_pixels_t *srcp, *dstp; | |||
| float *srcdata, *dstdata; | |||
| pipi_pixels_t *dstp; | |||
| float *dstdata; | |||
| int x, y, w, h; | |||
| w = src->w; | |||
| h = src->h; | |||
| w = img->w; | |||
| h = img->h; | |||
| srcp = pipi_getpixels(src, PIPI_PIXELS_Y_F); | |||
| srcdata = (float *)srcp->pixels; | |||
| dst = pipi_new(w, h); | |||
| dst = pipi_copy(img); | |||
| dstp = pipi_getpixels(dst, PIPI_PIXELS_Y_F); | |||
| dstdata = (float *)dstp->pixels; | |||
| @@ -57,7 +54,7 @@ pipi_image_t *pipi_dither_ordered(pipi_image_t *src) | |||
| { | |||
| float p, q; | |||
| p = srcdata[y * w + x]; | |||
| p = dstdata[y * w + x]; | |||
| q = p > (1. + kernel8x8[(y % 8) * 8 + (x % 8)]) / 65. ? 1. : 0.; | |||
| dstdata[y * w + x] = q; | |||
| } | |||
| @@ -66,20 +66,17 @@ static int const table[][3] = | |||
| {385, 112, 103}, {65, 18, 17}, {395, 104, 101}, {4, 1, 1} | |||
| }; | |||
| pipi_image_t *pipi_dither_ostromoukhov(pipi_image_t *src, pipi_scan_t scan) | |||
| pipi_image_t *pipi_dither_ostromoukhov(pipi_image_t *img, pipi_scan_t scan) | |||
| { | |||
| pipi_image_t *dst; | |||
| pipi_pixels_t *srcp, *dstp; | |||
| float *srcdata, *dstdata; | |||
| pipi_pixels_t *dstp; | |||
| float *dstdata; | |||
| int x, y, w, h; | |||
| w = src->w; | |||
| h = src->h; | |||
| w = img->w; | |||
| h = img->h; | |||
| srcp = pipi_getpixels(src, PIPI_PIXELS_Y_F); | |||
| srcdata = (float *)srcp->pixels; | |||
| dst = pipi_new(w, h); | |||
| dst = pipi_copy(img); | |||
| dstp = pipi_getpixels(dst, PIPI_PIXELS_Y_F); | |||
| dstdata = (float *)dstp->pixels; | |||
| @@ -95,7 +92,7 @@ pipi_image_t *pipi_dither_ostromoukhov(pipi_image_t *src, pipi_scan_t scan) | |||
| x2 = reverse ? w - 1 - x : x; | |||
| s = reverse ? -1 : 1; | |||
| p = srcdata[y * w + x2]; | |||
| p = dstdata[y * w + x2]; | |||
| q = p < 0.5 ? 0. : 1.; | |||
| dstdata[y * w + x2] = q; | |||
| @@ -106,12 +103,12 @@ pipi_image_t *pipi_dither_ostromoukhov(pipi_image_t *src, pipi_scan_t scan) | |||
| e /= table[i][0] + table[i][1] + table[i][2]; | |||
| if(x < w - 1) | |||
| srcdata[y * w + x2 + s] += e * table[i][0]; | |||
| dstdata[y * w + x2 + s] += e * table[i][0]; | |||
| if(y < h - 1) | |||
| { | |||
| if(x > 0) | |||
| srcdata[(y + 1) * w + x2 - s] += e * table[i][1]; | |||
| srcdata[(y + 1) * w + x2] += e * table[i][2]; | |||
| dstdata[(y + 1) * w + x2 - s] += e * table[i][1]; | |||
| dstdata[(y + 1) * w + x2] += e * table[i][2]; | |||
| } | |||
| } | |||
| } | |||