Jinhong_Homework4/task2_2.cpp

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

#define H 5
#define W 500
#define IDX(n) ((n)%3)

    float kx[3]={0.25,0.5,0.25};
    float ky[3]={0.25,0.5,0.25};
void applySeparableGaussianBlur(float src[H][W], float dst[H][W], int h, int w, float kx[3], float ky[3])
{
        float buf[H][W-1]={0};
        for(int i = 0; i< 2; ++i)
        {
            for (int j = 1; j < w - 1; ++j)
            {
            buf[i][j] = src[i][j - 1] * kx[0] + src[i][j] * kx[1] + src[i][j + 1] * kx[2];
            }
        }

    //开始进行可分离卷积
    for (int i = 1; i < h - 1; ++i) 
    { 
        //进行行间的卷积得到最终像素值
        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]={0};
     float dst[H][W]={0};
    for(int i=0;i<H;i++)
    {
        for(int j=0;j<W;j++)
        {
            inputImage[i][j]=W*i+j+1;
            dst[i][j]=W*i+j+1;
        }
    }

    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("算法运行时间：%lf秒\n",time_spent);
    for(int i=0;i<H;i++)
    {
        for(int j=0;j<W;j++)
        {
            printf("%f ",dst[i][j]);
        }
        printf("\n");
    }
}