Algorithm for denoising salt and pepper noise based on image statistical information
基于图像统计信息的去椒盐噪声算法

In this paper, a denoising algorithm with statistical information of image is proposed. The mean and variance of the central pixel and its neighborhood is used to cancel the salt and pepper noise of image. First, the author introduced the principles of the algorithm. Second, the median denoising algorithm, the adaptive median denoising algorithm and the denoising algorithm of this paper are all used to denoise the same image wirh the pollution of salt and pepper noise, also their comparison and analysis is displayed. Last, the author calculates and analyzes the complexity of the algorithm of this paper, and compares it with the complexity of the median denoising algorithm and the complexity of the adaptive median denoising algorithm, and concludes the reasonableness of the algorithm of this paper.