本文介绍了OpenCV的脉冲，高斯和盐和胡椒噪音的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我正在着名的上学习图像处理，并谈论图像修复很多例子都是用计算机生成的噪音（高斯，盐和胡椒等）完成的。在MATLAB中有一些内置函数可以做到这一点。那么OpenCV呢？
I'm studying Image Processing on the famous Gonzales "Digital Image Processing" and talking about image restoration a lot of examples are done with computer-generated noise (gaussian, salt and pepper, etc). In MATLAB there are some built-in functions to do it. What about OpenCV?
推荐答案
据我所知，Matlab中没有方便的内置函数。但只需几行代码就可以自己创建这些图像。
As far as I know there are no convenient built in functions like in Matlab. But with only a few lines of code you can create those images yourself.
例如加性高斯噪声：
Mat gaussian_noise = img.clone();
randn(gaussian_noise,128,30);
盐和胡椒噪音：
Mat saltpepper_noise = Mat::zeros(img.rows, img.cols,CV_8U);
randu(saltpepper_noise,0,255);
Mat black = saltpepper_noise < 30;
Mat white = saltpepper_noise > 225;
Mat saltpepper_img = img.clone();
saltpepper_img.setTo(255,white);
saltpepper_img.setTo(0,black);
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