离散余弦变化图像处理的c语言代码
时间: 2023-08-18 16:04:07 浏览: 42
以下是一个简单的离散余弦变换(DCT)的C语言代码示例,用于对一幅图像进行处理:
```c
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define PI 3.14159265358979323846
void dct(float *input, float *output, int size)
{
int i, j, k;
float c, dct_sum;
float *tmp = (float*) malloc(size * sizeof(float));
for (i = 0; i < size; i++) {
dct_sum = 0;
for (j = 0; j < size; j++) {
c = j == 0 ? sqrt(1.0 / size) : sqrt(2.0 / size);
dct_sum += c * input[j] * cos((2 * i + 1) * j * PI / (2 * size));
}
tmp[i] = dct_sum;
}
for (i = 0; i < size; i++) {
dct_sum = 0;
for (j = 0; j < size; j++) {
c = j == 0 ? sqrt(1.0 / size) : sqrt(2.0 / size);
dct_sum += c * tmp[j] * cos((2 * i + 1) * j * PI / (2 * size));
}
output[i] = dct_sum;
}
free(tmp);
}
int main()
{
int i, j, k;
int width = 8, height = 8;
float input[8][8] = {
{ 139, 144, 149, 153, 155, 155, 155, 155 },
{ 144, 151, 153, 156, 159, 156, 156, 156 },
{ 150, 155, 160, 163, 158, 156, 156, 156 },
{ 159, 161, 162, 160, 160, 159, 159, 159 },
{ 159, 160, 161, 162, 162, 155, 155, 155 },
{ 161, 161, 161, 161, 160, 157, 157, 157 },
{ 162, 162, 161, 163, 162, 157, 157, 157 },
{ 162, 162, 161, 161, 163, 158, 158, 158 }
};
float output[8][8];
for (i = 0; i < height; i++) {
for (j = 0; j < width; j++) {
printf("%6.1f ", input[i][j]);
}
printf("\n");
}
printf("\n");
for (i = 0; i < height; i += 8) {
for (j = 0; j < width; j += 8) {
float block[8][8];
for (k = 0; k < 8; k++) {
for (l = 0; l < 8; l++) {
block[k][l] = input[i + k][j + l];
}
}
dct(block, block, 8);
for (k = 0; k < 8; k++) {
for (l = 0; l < 8; l++) {
output[i + k][j + l] = block[k][l];
}
}
}
}
for (i = 0; i < height; i++) {
for (j = 0; j < width; j++) {
printf("%6.1f ", output[i][j]);
}
printf("\n");
}
return 0;
}
```
这个代码示例使用了一个简单的8x8像素块的DCT变换。输入块被分成8x8的块,并对每个块执行DCT变换。输出是一个与输入图像大小相同的图像,其中每个像素都已被DCT变换。