git-svn-id: file:///srv/caca.zoy.org/var/lib/svn/libpipi/trunk@2705 92316355-f0b4-4df1-b90c-862c8a59935fremotes/tiles
@@ -25,6 +25,7 @@ libpipi_la_SOURCES = \ | |||||
measure.c \ | measure.c \ | ||||
fill/floodfill.c \ | fill/floodfill.c \ | ||||
$(codec_sources) \ | $(codec_sources) \ | ||||
$(combine_sources) \ | |||||
$(filter_sources) \ | $(filter_sources) \ | ||||
$(dither_sources) \ | $(dither_sources) \ | ||||
$(NULL) | $(NULL) | ||||
@@ -38,6 +39,9 @@ codec_libs = | |||||
codec_sources = | codec_sources = | ||||
# Submodules | # Submodules | ||||
combine_sources = \ | |||||
combine/mean.c | |||||
filter_sources = \ | filter_sources = \ | ||||
filter/autocontrast.c \ | filter/autocontrast.c \ | ||||
filter/blur.c \ | filter/blur.c \ | ||||
@@ -0,0 +1,73 @@ | |||||
/* | |||||
* libpipi Proper image processing implementation library | |||||
* Copyright (c) 2004-2008 Sam Hocevar <sam@zoy.org> | |||||
* All Rights Reserved | |||||
* | |||||
* $Id$ | |||||
* | |||||
* This library is free software. It comes without any warranty, to | |||||
* the extent permitted by applicable law. You can redistribute it | |||||
* and/or modify it under the terms of the Do What The Fuck You Want | |||||
* To Public License, Version 2, as published by Sam Hocevar. See | |||||
* http://sam.zoy.org/wtfpl/COPYING for more details. | |||||
*/ | |||||
/* | |||||
* mean.c: Mean computation function | |||||
*/ | |||||
#include "config.h" | |||||
#include "common.h" | |||||
#include "pipi.h" | |||||
#include "pipi_internals.h" | |||||
pipi_image_t *pipi_mean(pipi_image_t *img1, pipi_image_t *img2) | |||||
{ | |||||
pipi_image_t *dst; | |||||
pipi_pixels_t *img1p, *img2p, *dstp; | |||||
float *img1data, *img2data, *dstdata; | |||||
int x, y, w, h; | |||||
if(img1->w != img2->w || img1->h != img2->h) | |||||
return NULL; | |||||
w = img1->w; | |||||
h = img1->h; | |||||
dst = pipi_new(w, h); | |||||
dstp = pipi_getpixels(dst, PIPI_PIXELS_RGBA_F); | |||||
dstdata = (float *)dstp->pixels; | |||||
img1p = pipi_getpixels(img1, PIPI_PIXELS_RGBA_F); | |||||
img1data = (float *)img1p->pixels; | |||||
img2p = pipi_getpixels(img2, PIPI_PIXELS_RGBA_F); | |||||
img2data = (float *)img2p->pixels; | |||||
for(y = 0; y < h; y++) | |||||
{ | |||||
for(x = 0; x < w; x++) | |||||
{ | |||||
float p, q; | |||||
p = img1data[4 * (y * w + x)]; | |||||
q = img2data[4 * (y * w + x)]; | |||||
dstdata[4 * (y * w + x)] = (p + q) * 0.5; | |||||
p = img1data[4 * (y * w + x) + 1]; | |||||
q = img2data[4 * (y * w + x) + 1]; | |||||
dstdata[4 * (y * w + x) + 1] = (p + q) * 0.5; | |||||
p = img1data[4 * (y * w + x) + 2]; | |||||
q = img2data[4 * (y * w + x) + 2]; | |||||
dstdata[4 * (y * w + x) + 2] = (p + q) * 0.5; | |||||
p = img1data[4 * (y * w + x) + 3]; | |||||
q = img2data[4 * (y * w + x) + 3]; | |||||
dstdata[4 * (y * w + x) + 3] = (p + q) * 0.5; | |||||
} | |||||
} | |||||
return dst; | |||||
} | |||||
@@ -131,6 +131,21 @@ int pipi_command(pipi_context_t *ctx, char const *cmd, ...) | |||||
pipi_free(src); | pipi_free(src); | ||||
ctx->images[ctx->nimages - 1] = dst; | ctx->images[ctx->nimages - 1] = dst; | ||||
} | } | ||||
else if(!strcmp(cmd, "mean")) | |||||
{ | |||||
pipi_image_t *dst; | |||||
if(ctx->nimages < 2) | |||||
return -1; | |||||
dst = pipi_mean(ctx->images[ctx->nimages - 2], | |||||
ctx->images[ctx->nimages - 1]); | |||||
if(dst == NULL) | |||||
return -1; | |||||
pipi_free(ctx->images[ctx->nimages - 2]); | |||||
pipi_free(ctx->images[ctx->nimages - 1]); | |||||
ctx->images[ctx->nimages - 2] = dst; | |||||
ctx->nimages--; | |||||
} | |||||
else if(!strcmp(cmd, "wrap")) | else if(!strcmp(cmd, "wrap")) | ||||
{ | { | ||||
if(ctx->nimages <= 0) | if(ctx->nimages <= 0) | ||||
@@ -85,6 +85,8 @@ extern double pipi_measure_rmsd(pipi_image_t *, pipi_image_t *); | |||||
extern pipi_image_t *pipi_resize(pipi_image_t *, int, int); | extern pipi_image_t *pipi_resize(pipi_image_t *, int, int); | ||||
extern pipi_image_t *pipi_mean(pipi_image_t *, pipi_image_t *); | |||||
extern pipi_image_t *pipi_convolution(pipi_image_t *, int, int, double[]); | extern pipi_image_t *pipi_convolution(pipi_image_t *, int, int, double[]); | ||||
extern pipi_image_t *pipi_gaussian_blur(pipi_image_t *, float); | extern pipi_image_t *pipi_gaussian_blur(pipi_image_t *, float); | ||||
extern pipi_image_t *pipi_gaussian_blur_ext(pipi_image_t *, | extern pipi_image_t *pipi_gaussian_blur_ext(pipi_image_t *, | ||||
@@ -51,6 +51,11 @@ int main(int argc, char *argv[]) | |||||
if(pipi_command(ctx, "wrap") != 0) | if(pipi_command(ctx, "wrap") != 0) | ||||
return EXIT_FAILURE; | return EXIT_FAILURE; | ||||
} | } | ||||
else if(!strcmp(argv[0], "--mean")) | |||||
{ | |||||
if(pipi_command(ctx, "mean") != 0) | |||||
return EXIT_FAILURE; | |||||
} | |||||
else if(!strcmp(argv[0], "--output") || !strcmp(argv[0], "-o")) | else if(!strcmp(argv[0], "--output") || !strcmp(argv[0], "-o")) | ||||
{ | { | ||||
if(argv[1] == NULL) | if(argv[1] == NULL) | ||||