基于改进型中值滤波的高密度椒盐噪声图像去噪算法研究  

Denoising algorithm for high density salt and pepper noise image based on improved median filtering

作　　者：刘杨[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221116

出　　处：《微型机与应用》2016年第19期47-49,共3页Microcomputer & Its Applications

摘　　要：针对目前已有滤波算法对高密度椒盐噪声降噪能力较低的问题,提出了一种基于改进型中值滤波的算法。该算法在自适应中值滤波与斜率差值的基础上,采用图像局部均值与方差的方式对噪声点进行预判定,并对图像边缘进行二次邻域均值滤波。实验结果表明,该算法能够有效去除高密度椒盐噪声,并且能较好地保留细节信息。In view of the problems currently existing filtering algorithm of high density salt and pepper noise reduction ability is not good, an improved median filter algorithm is proposed in this paper. Based on the adaptive median filter and slope difference, the method of image local mean and variance is used to determine the noise points, and the image edge is filtered by two times. The experimental results show that the algorithm can effectively remove the high-density salt and pepper noise, and can keep the detail information better.

关 键 词：椒盐噪声 局部均值 方差 斜率差值 邻域均值滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]