floyd-steinberg抖动算法c语言实现源码讲解
时间: 2023-10-12 21:30:27 浏览: 350
好的,以下是Floyd-Steinberg抖动算法的C语言实现源码讲解:
```c
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#define STB_IMAGE_IMPLEMENTATION
#include "stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#include "stb_image_write.h"
int main(int argc, char *argv[]) {
if(argc < 2) {
printf("Usage: %s <input-file>\n", argv[0]);
return 1;
}
char* input_file = argv[1];
int width, height, channels;
unsigned char* image_data = stbi_load(input_file, &width, &height, &channels, 0);
if(image_data == NULL) {
printf("Failed to load image: %s\n", input_file);
return 1;
}
int** pixels = (int**)malloc(sizeof(int*) * width);
for(int i = 0; i < width; i++) {
pixels[i] = (int*)malloc(sizeof(int) * height);
memset(pixels[i], 0, sizeof(int) * height);
}
for(int y = 0; y < height; y++) {
for(int x = 0; x < width; x++) {
int index = (y * width + x) * channels;
int oldPixel = (int)floor(0.2126 * image_data[index] + 0.7152 * image_data[index+1] + 0.0722 * image_data[index+2]);
int newPixel = oldPixel > 127 ? 255 : 0;
pixels[x][y] = newPixel;
int error = oldPixel - newPixel;
if(x < width - 1) {
pixels[x+1][y] += (int)(error * 7 / 16.0);
}
if(x > 0 && y < height - 1) {
pixels[x-1][y+1] += (int)(error * 3 / 16.0);
}
if(y < height - 1) {
pixels[x][y+1] += (int)(error * 5 / 16.0);
}
if(x < width - 1 && y < height - 1) {
pixels[x+1][y+1] += (int)(error * 1 / 16.0);
}
}
}
stbi_image_free(image_data);
unsigned char* result_data = (unsigned char*)malloc(sizeof(unsigned char) * width * height);
for(int y = 0; y < height; y++) {
for(int x = 0; x < width; x++) {
result_data[y * width + x] = (unsigned char)pixels[x][y];
}
}
for(int i = 0; i < width; i++) {
free(pixels[i]);
}
free(pixels);
char* output_file = "output.png";
stbi_write_png(output_file, width, height, 1, result_data, width);
free(result_data);
printf("Image saved to: %s\n", output_file);
return 0;
}
```
以上代码中,使用了stb_image和stb_image_write库来读取和保存图片文件。在实现过程中,首先使用二维数组存储每个像素点的值。对于每个像素点,根据其RGB值计算灰度值,并判断是否大于阈值,若大于则将其像素值设为255,否则设为0。然后计算误差并将其传递给周围的像素点,具体地,将误差按照一定的比例分配给周围的4个像素点,以实现误差扩散的效果。最后将处理后的像素点重新转换为unsigned char类型并保存为PNG格式的图片文件。
注意,在实现过程中需要注意防止越界访问,以及内存的释放等问题。
希望这份源码讲解对您有所帮助。
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