一种消除椒盐噪声的迭代自适应中值滤波算法  

An Iterative Adaptive Median Filtering Algorithm for Salt and Pepper Noise Removal

作　　者：王拓 王洪雁[1,2] 裴炳南[1,2] WANG Tuo;WANG Hong-yan;PEI Bing-nan(Dalian University,a.Liaoning Engineering Laboratory of BeiDou High-precision Location Service,Dalian 116622,China;Dalian Key Laboratory of Environmental Perception and Intelligent Control,Dalian 116622,China)

机构地区：[1]大连大学辽宁省北斗高精度位置服务技术工程实验室,辽宁大连116622 [2]大连大学大连市环境感知与智能控制重点实验室,辽宁大连116622

出　　处：《电光与控制》2019年第2期23-27,共5页Electronics Optics & Control

基　　金：国家自然科学基金(61301258;61271379);中国博士后科学基金(2016M590218)

摘　　要：针对传统中值滤波算法对高密度椒盐噪声图像滤波效果差的问题,基于循环迭代处理思想,提出一种消除椒盐噪声的迭代自适应中值滤波算法。在传统基于决策滤波方法基础上,所提算法自适应调整滤波窗口尺寸并计算滤波窗口内非椒盐像素中值以替换噪声像素,进而根据噪声密度自适应决定算法迭代次数,以完全消除椒盐噪声并恢复原始图像。仿真结果表明,对噪声密度为10%～99%的图像,与标准中值滤波及其4种改进算法相比,所提算法能较快消除椒盐噪声且可较好恢复原始图像细节。The traditional median filtering algorithm has poor filtering effect on the images with high-density salt and pepper noise.Based on the theory of cyclic iterative processing,an iterative adaptive median filtering algorithm is proposed to remove the salt and pepper noise.Following the traditional filtering approach based on decision-making,the proposed algorithm adaptively adjusts the size of the filtering window and calculates the median of the non-salt and pepper pixels in the filtering window to replace the corrupted pixels.After that,the proposed algorithm adaptively determines the iteration number according to the noise density,so as to completely remove the salt and pepper noise and retrieve the original image.Simulation results demonstrate that,compared with the standard median filtering algorithm and four other improved algorithms,the proposed algorithm can remove the salt and pepper noise with less running time and can efficiently retrieve the details of the original image for the images with the noise density varying from 10% to 99%.

关 键 词：图像处理 椒盐噪声 迭代自适应中值滤波 滤波窗口 运行时间 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]