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[submodule "src/stb"] | ||
path = src/stb | ||
url = https://github.com/nothings/stb |
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This is free and unencumbered software released into the public domain. | ||
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Anyone is free to copy, modify, publish, use, compile, sell, or | ||
distribute this software, either in source code form or as a compiled | ||
binary, for any purpose, commercial or non-commercial, and by any | ||
means. | ||
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In jurisdictions that recognize copyright laws, the author or authors | ||
of this software dedicate any and all copyright interest in the | ||
software to the public domain. We make this dedication for the benefit | ||
of the public at large and to the detriment of our heirs and | ||
successors. We intend this dedication to be an overt act of | ||
relinquishment in perpetuity of all present and future rights to this | ||
software under copyright law. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | ||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF | ||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. | ||
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR | ||
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, | ||
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR | ||
OTHER DEALINGS IN THE SOFTWARE. | ||
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For more information, please refer to <https://unlicense.org> |
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PNAME = stbibalance | ||
CFLAGS = -std=c99 -O2 -Wall -Wextra -Wno-unused-but-set-variable -Wno-unused-parameter -Werror | ||
LDLIBS = -lm -s | ||
SRCS = src/balance.c | ||
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all: $(PNAME) | ||
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$(PNAME): $(SRCS) | ||
$(CC) $(CFLAGS) $^ $(LDLIBS) -o $@ | ||
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clean: | ||
rm -f $(PNAME) |
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# stbibalance | ||
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Balance filter based of Gauss blur. | ||
Used: | ||
* Gauss blur: [iir_gauss_blur](https://github.com/arkanis/iir_gauss_blur). | ||
* STB: [stb](https://github.com/nothings/stb). | ||
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Balance is a thin filter (unlike others that use a thick difference between | ||
the original image and its blurred version) that uses the difference between | ||
a single and double radius blurred version of the original image | ||
(single and double `sigma`). | ||
This difference is used not directly, but by applying an `overlay` four times, | ||
with the colors inverted. | ||
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This filter was first applied in [STEX](https://github.com/ImageProcessing-ElectronicPublications/scantailor-experimental) (2024) | ||
in a single-component version (Y, the values of the color components were aligned | ||
in accordance with the brightness values before and after the filter). | ||
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Here this filter is implemented in a full-color version. | ||
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## Usage | ||
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`./stbibalance [-h] [-s sigma] [-m mixed] input-file output-file` | ||
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`-s sigma` The sigma of the gauss normal distribution (number >= 0.5). | ||
Larger values result in a stronger blur. | ||
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`-m mixed` The mixed coefficient. | ||
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`-h` display this help and exit. | ||
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You can use either sigma to specify the strengh of the blur. | ||
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The performance is independent of the blur strengh (sigma). This tool is an | ||
implementation of the paper "Recursive implementaion of the Gaussian filter" | ||
by Ian T. Young and Lucas J. van Vliet. | ||
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stb_image and stb_image_write by Sean Barrett and others is used to read and | ||
write images. | ||
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## Installation | ||
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- Clone the repo or download the source `git clone --recurse-submodules https://github.com/ImageProcessing-ElectronicPublications/stbibalance` | ||
- Execute `make` | ||
- Done. Either use the `stbibalance` executable directly or copy it somewhere in your PATH. | ||
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## Links | ||
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* STB: [stb](https://github.com/nothings/stb). | ||
* Gauss blur: [iir_gauss_blur](https://github.com/arkanis/iir_gauss_blur). | ||
* Examples: [stbibalance-examples](https://github.com/ImageProcessing-ElectronicPublications/stbibalance-examples). |
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#define _GNU_SOURCE | ||
#include <stdio.h> | ||
#include <unistd.h> | ||
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#define STB_IMAGE_IMPLEMENTATION | ||
#define STBI_FAILURE_USERMSG | ||
#include "stb/stb_image.h" | ||
#define STB_IMAGE_WRITE_IMPLEMENTATION | ||
#include "stb/stb_image_write.h" | ||
#define IIR_GAUSS_BLUR_IMPLEMENTATION | ||
#include "iir_gauss_blur.h" | ||
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void usage(char* progname) | ||
{ | ||
fprintf(stderr, | ||
"%s %s %s\n", | ||
"Usage:", progname, "[-h] [-s sigma] [-m mixed] input-file output.png\n" | ||
"Balance filter an image and save it as PNG.\n" | ||
); | ||
} | ||
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void help(float sigma, float mix) | ||
{ | ||
fprintf(stderr, | ||
"%s %f %s %f %s\n", | ||
" -s sigma The sigma of the gauss normal distribution (number >= 0.5, default =", sigma, ").\n" | ||
" Larger values result in a stronger blur.\n" | ||
" -m mixed The mixed coefficient (number, default =", mix, ").\n" | ||
" -h display this help and exit.\n" | ||
"\n" | ||
"You can use either sigma to specify the strengh of the blur.\n" | ||
"\n" | ||
"The performance is independent of the blur strengh (sigma). This tool is an\n" | ||
"implementation of the paper \"Recursive implementaion of the Gaussian filter\"\n" | ||
"by Ian T. Young and Lucas J. van Vliet.\n" | ||
"\n" | ||
"stb_image and stb_image_write by Sean Barrett and others is used to read and\n" | ||
"write images.\n" | ||
); | ||
} | ||
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uint8_t* image_copy(unsigned int width, unsigned int height, unsigned char components, unsigned char* image) | ||
{ | ||
size_t image_size = height * width * components; | ||
uint8_t* dest = (unsigned char*)malloc(image_size * sizeof(unsigned char)); | ||
if (dest != NULL) | ||
{ | ||
for (size_t i = 0; i < image_size; i++) | ||
{ | ||
dest[i] = image[i]; | ||
} | ||
} | ||
return dest; | ||
} | ||
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void image_overlay_blur(unsigned int width, unsigned int height, unsigned char components, unsigned char* blur1r, unsigned char* blur2r) | ||
{ | ||
size_t image_size = height * width * components; | ||
if ((blur1r != NULL) && (blur2r != NULL)) | ||
{ | ||
for (size_t i = 0; i < image_size; i++) | ||
{ | ||
float b1r = blur1r[i]; | ||
float b2r = blur2r[i]; | ||
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/* overlay 1 */ | ||
float base = 255.0f - b1r; | ||
float overlay = b2r; | ||
float retval1 = base; | ||
if (base > 127.5f) | ||
{ | ||
retval1 = 255.0f - retval1; | ||
overlay = 255.0f - overlay; | ||
} | ||
retval1 *= overlay; | ||
retval1 += retval1; | ||
retval1 /= 255.0f; | ||
if (base > 127.5f) | ||
{ | ||
retval1 = 255.0f - retval1; | ||
} | ||
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/* overlay 2 */ | ||
base = 255.0f - b2r; | ||
overlay = b1r; | ||
float retval2 = base; | ||
if (base > 127.5f) | ||
{ | ||
retval2 = 255.0f - retval2; | ||
overlay = 255.0f - overlay; | ||
} | ||
retval2 *= overlay; | ||
retval2 += retval2; | ||
retval2 /= 255.0f; | ||
if (base > 127.5f) | ||
{ | ||
retval2 = 255.0f - retval2; | ||
} | ||
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blur1r[i] = (retval1 < 0.0f) ? 0 : ((retval1 < 255.0f) ? (uint8_t)(retval1 + 0.5f) : 255); | ||
blur2r[i] = (retval2 < 0.0f) ? 0 : ((retval2 < 255.0f) ? (uint8_t)(retval2 + 0.5f) : 255); | ||
} | ||
} | ||
} | ||
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void image_overlay(unsigned int width, unsigned int height, unsigned char components, unsigned char* image, unsigned char* blur) | ||
{ | ||
size_t image_size = height * width * components; | ||
if ((image != NULL) && (blur != NULL)) | ||
{ | ||
for (size_t i = 0; i < image_size; i++) | ||
{ | ||
float im = image[i]; | ||
float bl = blur[i]; | ||
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/* overlay*/ | ||
float base = im; | ||
float overlay = bl; | ||
float retval = base; | ||
if (base > 127.5f) | ||
{ | ||
retval = 255.0f - retval; | ||
overlay = 255.0f - overlay; | ||
} | ||
retval *= overlay; | ||
retval += retval; | ||
retval /= 255.0f; | ||
if (base > 127.5f) | ||
{ | ||
retval = 255.0f - retval; | ||
} | ||
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blur[i] = (retval < 0.0f) ? 0 : ((retval < 255.0f) ? (uint8_t)(retval + 0.5f) : 255); | ||
} | ||
} | ||
} | ||
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void image_mix(unsigned int width, unsigned int height, unsigned char components, float coef, unsigned char* image1, unsigned char* image2) | ||
{ | ||
size_t image_size = height * width * components; | ||
if ((image1 != NULL) && (image2 != NULL)) | ||
{ | ||
for (size_t i = 0; i < image_size; i++) | ||
{ | ||
float im1 = image1[i]; | ||
float im2 = image2[i]; | ||
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/* overlay*/ | ||
float retval = coef * im1 + (1.0 - coef) * im2; | ||
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image2[i] = (retval < 0.0f) ? 0 : ((retval < 255.0f) ? (uint8_t)(retval + 0.5f) : 255); | ||
} | ||
} | ||
} | ||
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int main(int argc, char** argv) | ||
{ | ||
float sigma = 10.0f; | ||
float mix = 1.0f; | ||
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int opt; | ||
while ( (opt = getopt(argc, argv, "s:m:h")) != -1 ) | ||
{ | ||
switch(opt) | ||
{ | ||
case 's': | ||
sigma = strtof(optarg, NULL); | ||
break; | ||
case 'm': | ||
mix = strtof(optarg, NULL); | ||
break; | ||
case 'h': | ||
usage(argv[0]); | ||
help(sigma, mix); | ||
return 0; | ||
default: | ||
usage(argv[0]); | ||
return 1; | ||
} | ||
} | ||
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// Need at least two filenames after the last option | ||
if (argc < optind + 2) | ||
{ | ||
usage(argv[0]); | ||
return 1; | ||
} | ||
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int width = 0, height = 0, components = 1; | ||
uint8_t* image = stbi_load(argv[optind], &width, &height, &components, 0); | ||
if (image == NULL) | ||
{ | ||
fprintf(stderr, "Failed to load %s: %s.\n", argv[optind], stbi_failure_reason()); | ||
return 2; | ||
} | ||
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uint8_t* blur1r = image_copy(width, height, components, image); | ||
if (blur1r == NULL) | ||
{ | ||
fprintf(stderr, "ERROR: not use memmory\n"); | ||
return 3; | ||
} | ||
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uint8_t* blur2r = image_copy(width, height, components, image); | ||
if (blur2r == NULL) | ||
{ | ||
fprintf(stderr, "ERROR: not use memmory\n"); | ||
return 3; | ||
} | ||
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iir_gauss_blur(width, height, components, blur1r, sigma); | ||
iir_gauss_blur(width, height, components, blur2r, (sigma + sigma)); | ||
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image_overlay_blur(width, height, components, blur1r, blur2r); | ||
image_overlay(width, height, components, image, blur1r); | ||
image_overlay(width, height, components, blur1r, blur2r); | ||
image_mix(width, height, components, mix, blur2r, image); | ||
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if ( stbi_write_png(argv[optind+1], width, height, components, image, 0) == 0 ) | ||
{ | ||
fprintf(stderr, "Failed to save %s.\n", argv[optind+1]); | ||
return 4; | ||
} | ||
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return 0; | ||
} |
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