#include #include #include #define H 5 #define W 5 #define IDX(n) ((n)%3) void applySeparableGaussianBlur(float src[H][W], float dst[H][W], int h, int w, float kx[3], float ky[3]) { float buf[3][3]={0}; for(int k = 0; k< 2; ++k) { for (int j = 1; j < w - 1; ++j) { buf[k][j] = src[k][j - 1] * kx[0] + src[k][j] * kx[1] + src[k][j + 1] * kx[2]; } } //开始进行可分离卷积 for (int i = 1; i < h - 1; ++i) { // 计算当前行的行内卷积 for (int j = 1; j < w - 1; ++j) { buf[IDX(i + 1)][j] = src[i + 1][j - 1] * kx[0] + src[i + 1][j] * kx[1] + src[i + 1][j + 1] * kx[2]; dst[i][j] = buf[IDX(i - 1)][j] * ky[0] + buf[IDX(i)][j] * ky[1] + buf[IDX(i + 1)][j] * ky[2]; } } } int main() { float inputImage[H][W]= { {1,2,3,4,5}, {6,7,8,9,10}, {11,12,13,14,15}, {16,17,18,19,20}, {21,22,23,24,25} }; float kx[3]={0.25,0.5,0.25}; float ky[3]={0.25,0.5,0.25}; float dst[H][W]= { {1,2,3,4,5}, {6,7,8,9,10}, {11,12,13,14,15}, {16,17,18,19,20}, {21,22,23,24,25} }; clock_t start = clock(); applySeparableGaussianBlur(inputImage, dst, H, W, kx, ky); clock_t end = clock(); double time_spent = double(end - start) / CLOCKS_PER_SEC; printf("运行时间:%lf秒\n不考虑边界,dst矩阵结果为\n",time_spent); for(int i=0;i