沿边局部灰度差分椒盐噪声滤波

孔勇奇; 潘志庚

doi:10.11834/jig.20130301

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专辑

沿边局部灰度差分椒盐噪声滤波
Salt and pepper noise filtering algorithm based on local border gray-scale differences
2013年18卷第3期页码：249-256
纸质出版：2013
DOI： 10.11834/jig.20130301
稿件说明：

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孔勇奇, 潘志庚. 沿边局部灰度差分椒盐噪声滤波[J]. 中国图象图形学报, 2013,18(3):249-256. DOI： 10.11834/jig.20130301.

Kong Yongqi, Pan Zhigeng. Salt and pepper noise filtering algorithm based on local border gray-scale differences[J]. Journal of Image and Graphics, 2013, 18(3): 249-256. DOI： 10.11834/jig.20130301.

摘要

为了在减小高密度椒盐噪声漏检的同时最大限度提升滤波效果

提出一种新算法。该算法首先利用椒盐灰度极值

抽取准噪声点;然后对准噪声点执行局部窗口沿边检测

判断疑似噪声集合;最后

只对疑似噪声集合中像素点进行就近双边加权灰度替换滤波。实验数据显示

不同噪声密度环境下

本文算法在现有滤波算法的基础上

将峰值信噪比(PSNR)参数分别提高0.2~1.6 dB。实验结果表明

该算法的综合性能优于其他相关的算法。

Abstract

In order to reduce detection error in high density salt and pepper noise and to improve the filtering performance

a new local adaptive gray similarity bilateral filter algorithm is proposed in this paper. First

the algorithm extracts quasi-noise through gray-scale extremism of salt and pepper gray values

and then detects the local window border for every quasi-noise point to get the possible noise collection. Finally

only the pixels in the quasi-noise collection need to be filtered with nearby bilateral weighted gray-scale filtering. Experimental results demonstrate that the new algorithm has increased the parameters for peak signal-to-noise ratio(PSNR) by 0.2~1.6 dB in different noise density. Experimental results demonstrate that the new algorithm has the most integrated optimal performance in comparison to other filtering algorithms.