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image-processingopencv

Impulse, gaussian and salt and pepper noise with OpenCV

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?

Solution

  • 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.

    For example additive gaussian noise:

    Mat gaussian_noise = img.clone();
randn(gaussian_noise,128,30);

    Salt and pepper noise:

    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);