基于图像统计信息的去椒盐噪声算法

本文主要介绍一种基于图像统计信息的去噪算法，主要利用图像中心像素邻域的均值和方差来消除图像中椒盐噪声的影响。首先，介绍了这种算法的基本原理；然后，分别应用中值滤波算法、自适应中值滤波算法以及本文的算法对有椒盐噪声污染的图像进行滤波，并对实验结果进行比较和分析；最后，文章对这种算法的复杂度进行了计算分析，并将其和中值滤波算法以及自适应中值滤波算法的复杂度作比较，并对这种算法的合理性进行了分析与总结。

Algorithm for denoising salt and pepper noise based on image statistical information

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.