Algorithm for denoising salt and pepper noise based on image statistical information
Yandong Tang · Journal of Computer Applications · 2009
In this paper,a denoising algorithm with image statistical information was proposed.In this method,the mean and variance values of the central pixel and its neighborhood were used to remove the salt and pepper noise on an image.Firstly,the principle of the algorithm and its implementation were presented.This method was compared with the median denoising and the adaptive median denoising methods on images with salt and pepper noise.The experimental results show that the proposed algorithm could eliminate the salt and pepper noise and maintain the characteristics of image.At last,this paper analyzed the computational complexity of the proposed algorithm and compared it with the complexity of the median denoising and the adaptive median denoising algorithms.The computational complexity of the algorithm is also lower than that of the adaptive median denoising.