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复杂算子优化系统1.cpp

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+#include <stdio.h>
+#include <time.h>
+
+// 应用3×3 GaussianBlur到给定的二维数组src上，并将结果存到二维数组dst中
+void applyGaussianBlur(float src[][5], float dst[][5], int h, int w, float kernel[3][3]) {
+    // 遍历图像内部像素（忽略边界，只处理中心3×3区域对应的像素）
+    for (int i = 1; i < h - 1; i++) {
+        for (int j = 1; j < w - 1; j++) {
+            float sum = 0.0;
+            // 3×3 kernel卷积核加权平均计算
+            for (int m = 0; m < 3; m++) {
+                for (int n = 0; n < 3; n++) {
+                    sum += kernel[m][n] * src[i - 1 + m][j - 1 + n];
+                }
+            }
+            dst[i][j] = sum;
+        }
+    }
+}
+
+int main() {
+    // 输入图像矩阵（这里示例一个5×5的矩阵）
+    float image[5][5] = {
+        {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}
+    };
+    // 常用的kernel_size=3的kernel
+    float kernel[3][3] = {
+        {1.0 / 16, 2.0 / 16, 1.0 / 16},
+        {2.0 / 16, 4.0 / 16, 2.0 / 16},
+        {1.0 / 16, 2.0 / 16, 1.0 / 16}
+    };
+    float result[5][5];
+    // 记录开始时间
+    clock_t start_time = clock();
+    applyGaussianBlur(image, result, 5, 5, kernel);
+    // 记录结束时间
+    clock_t end_time = clock();
+    double elapsed_time = (double)(end_time - start_time) / CLOCKS_PER_SEC;
+
+    // 输出dst[][]矩阵结果
+    printf("Gaussian Blur Result Matrix:\n");
+    for (int i = 0; i < 5; i++) {
+        for (int j = 0; j < 5; j++) {
+            printf("%.2f ", result[i][j]);
+        }
+        printf("\n");
+    }
+    // 输出运行时间
+    printf("Elapsed time: %.6f seconds\n", elapsed_time);
+
+    return 0;
+}