Add task2_3.cpp

task2_3.cpp

@@ -0,0 +1,63 @@
+#include <stdio.h>
+#include <ctime>
+#include <stdlib.h>
+
+#define H 5
+#define W 500
+
+    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 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 = 2; i < h ; i++) 
+        {
+            // 计算当前行的行内卷积 
+            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];
+                dst[i-1][j] = buf[i-2][j]*ky[0] + buf[i-1][j]*ky[1] + buf[i][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");
+    }
+
+}
+