Add task3_1.cpp

task3_1.cpp

@@ -0,0 +1,112 @@
+#include <stdio.h>
+#include <ctime>
+#include <stdlib.h>
+#include<arm_neon.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[H][W-1]={0};
+    float32x4_t kx_vec=vld1q_f32(kx);
+    float32x4_t ky_vec=vld1q_f32(ky);
+
+        for(int k = 0; k< 2; ++k)
+        {
+            for(int j=1;j<w-1;j+=4)
+            {
+                float32x4_t left =vld1q_f32(&src[k][j-1]);
+                float32x4_t mid =vld1q_f32(&src[k][j]);
+                float32x4_t right =vld1q_f32(&src[k][j+1]);
+
+                float32x4_t result =vmulq_lane_f32(left,vget_low_f32(kx_vec),0);
+                result=vmlaq_lane_f32(result,mid,vget_low_f32(kx_vec),1);
+                result=vmlaq_lane_f32(result,right,vget_high_f32(kx_vec),0);
+
+                vst1q_f32(&buf[k][j],result);   
+            }  
+        }
+        //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+=4) 
+        {
+            float32x4_t left =vld1q_f32(&src[i+1][j-1]);
+            float32x4_t mid =vld1q_f32(&src[i+1][j]);
+            float32x4_t right =vld1q_f32(&src[i+1][j+1]);
+
+            float32x4_t result =vmulq_lane_f32(left,vget_low_f32(kx_vec),0);
+            result=vmlaq_lane_f32(result,mid,vget_low_f32(kx_vec),1);
+            result=vmlaq_lane_f32(result,right,vget_high_f32(kx_vec),0);
+
+            vst1q_f32(&buf[IDX(i + 1)][j],result);       
+
+
+            float32x4_t left1 =vld1q_f32(&buf[IDX(i - 1)][j]);
+            float32x4_t mid1 =vld1q_f32(&buf[IDX(i )][j]);
+            float32x4_t right1 =vld1q_f32(&buf[IDX(i + 1)][j]);
+
+            float32x4_t result1 =vmulq_lane_f32(left1,vget_low_f32(kx_vec),0);
+            result1=vmlaq_lane_f32(result1,mid1,vget_low_f32(kx_vec),1);
+            result1=vmlaq_lane_f32(result1,right1,vget_high_f32(kx_vec),0);
+
+            vst1q_f32(&dst[i][j],result1);  
+        }
+        }
+}
+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}
+    };
+
+     float a[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\ndst矩阵结果为\n",time_spent);
+    for(int i=0;i<H;i++)
+    {
+        for(int j=0;j<W;j++)
+        {
+            if(i==0||i==H-1||j==0||j==W-1)
+            {
+                printf("%.1f ",a[i][j]);
+            }else
+            {
+                printf("%.1f ",dst[i][j]);
+
+            }
+        }
+        printf("\n");
+    }
+
+}
+