OpenCV-PS扩散毛玻璃效果的实现代码

// 扩散效果
cv::Mat Diffusion(cv::Mat src,int size)
{
	int row = src.rows;
	int col = src.cols;
	RNG rng;
	cv::Mat result = src.clone();
	for (int i = size; i < row- size; ++i)
	{
		uchar* t = result.ptr<uchar>(i);
		for (int j = size; j < col- size; ++j)
		{
			int tmp = rng.uniform(0, 2*size+1);
			t[3 * j] = src.at<uchar>(i - size + tmp / (2 * size + 1), 3 * (j - size + tmp % (2 * size + 1)));
			t[3 * j + 1] = src.at<uchar>(i - size + tmp / (2 * size + 1), 3 * (j - size + tmp % (2 * size + 1)) + 1);
			t[3 * j + 2] = src.at<uchar>(i - size + tmp / (2 * size + 1), 3 * (j - size + tmp % (2 * size + 1)) + 2);
		}
	}
	return result;
}

#include <iostream>
#include <string>
#include <opencv2/opencv.hpp>
 
using namespace std;
using namespace cv;
 
cv::Mat Diffusion(cv::Mat src, int size);
 
int main()
{
	cv::Mat src = imread("test.jpg");
	int size = 5;
	cv::Mat result = Diffusion(src,size);
	cv::imshow("original", src);
	cv::imshow("result", result);
	waitKey(0);
	return 0;
}
 
// 扩散效果
cv::Mat Diffusion(cv::Mat src,int size)
{
	int row = src.rows;
	int col = src.cols;
	RNG rng;
	cv::Mat result = src.clone();
	for (int i = size; i < row- size; ++i)
	{
		uchar* t = result.ptr<uchar>(i);
		for (int j = size; j < col- size; ++j)
		{
			int tmp = rng.uniform(0, 2*size+1);
			t[3 * j] = src.at<uchar>(i - size + tmp / (2 * size + 1), 3 * (j - size + tmp % (2 * size + 1)));
			t[3 * j + 1] = src.at<uchar>(i - size + tmp / (2 * size + 1), 3 * (j - size + tmp % (2 * size + 1)) + 1);
			t[3 * j + 2] = src.at<uchar>(i - size + tmp / (2 * size + 1), 3 * (j - size + tmp % (2 * size + 1)) + 2);
		}
	}
	return result;
}