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浙江大学学报（理学版）
浙江大学学报（理学版）  2019, Vol. 46 Issue (4): 445-453    DOI: 10.3785/j.issn.1008-9497.2019.04.010
数学与计算机科学     
一种去除椒盐噪声的自适应模糊中值滤波算法
万丰丰1, 周国民2, 周晓1
1.浙江工业大学 信息工程学院，浙江 杭州 310023
2.浙江警察学院，浙江 杭州 310053
An adaptive fuzzy median filtering algorithm for salt and pepper noise removal
WAN Fengfeng1, ZHOU Guomin2, ZHOU Xiao1
1.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
2.Zhejiang Police College, Hangzhou 310053, China
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摘要： 针对传统中值滤波算法降噪性能不佳以及易造成图像细节模糊的问题，提出了一种自适应模糊中值滤波算法。 滤波过程分为噪声检测和噪声去除2个阶段。噪声检测阶段：采用极值法检测噪声，将图像的像素点分为两类，即疑似噪声点和信号点。 通过疑似像素点和与其相邻的已处理的像素点的平均绝对灰度差值定义模糊隶属度函数，利用该函数对疑似噪声点是否为噪声进行模糊分类。 噪声去除阶段：信号点保持原值输出，对于疑似噪声点的3种分类结果，采用模糊加权的中值滤波器进行统一处理。 实验结果表明，较于多种传统滤波方法，该算法能更有效地去除椒盐噪声，保护图像细节。
关键词： 椒盐噪声;  图像降噪;  中值滤波;  自适应模糊中值滤波    
Abstract: An adaptive fuzzy median filtering algorithm is proposed for the problem that traditional median filtering algorithm has poor processing performance in denoising and easily blurs image details. The process of denoising includes two stages: noise detection and noise removal. In noise detection stage, using the maximum-minimum method to detect noise, pixels in a corrupted image are classified into two categories: suspected noise pixels and signal pixels. The fuzzy membership function is defined by the mean of the absolute gray difference between the suspected pixels and its neighborhood pixels which has been processed, and the suspected pixels are fuzzy classified by this function. In noise removal stage, the signal pixels retain unchanged; For the three classification results of suspected noise points, the fuzzy weighted median filter is used for processing. The experimental results show that compared with several traditional filtering algorithm, the proposed algorithm can reduce salt and pepper noise and preserve image details more effectively.
Key words: salt and pepper noise    image denoising    median filter    adaptive fuzzy median filter
收稿日期: 2018-08-07 出版日期: 2019-07-25
CLC:  TP 391  
基金资助: 国家自然科学基金-浙江两化融合联合资助(U1509219).
作者简介: 万丰丰(1992—)，ORCID:http://orcid.org/0000-0001-7239-7893 ，男，硕士研究生，主要从事图形图像处理研究.
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引用本文:

万丰丰, 周国民, 周晓. 一种去除椒盐噪声的自适应模糊中值滤波算法[J]. 浙江大学学报（理学版）, 2019, 46(4): 445-453.

WAN Fengfeng, ZHOU Guomin, ZHOU Xiao. An adaptive fuzzy median filtering algorithm for salt and pepper noise removal. Journal of ZheJIang University(Science Edition), 2019, 46(4): 445-453.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2019.04.010    或    https://www.zjujournals.com/sci/CN/Y2019/V46/I4/445

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