Jinhong_Homework4/task2_1.cpp

#include <stdio.h>
#include <ctime>
#include <stdlib.h>

#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<H;i++)
    {
        for(int j=0;j<W;j++)
        {
            printf("%f ",dst[i][j]);
        }
        printf("\n");
    }

}