Add task2_2.cpp

task2_2.cpp

@@ -0,0 +1,62 @@
+#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");
+    }
+}
+
+