改进权值函数的非局部均值去噪算法

单建华

doi:10.11834/jig.20121005

图像处理和编码 | 浏览量 : 0 下载量: 110 CSCD: 0

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专辑

改进权值函数的非局部均值去噪算法
Non-local means denoising algorithm with enhanced weight function
2012年17卷第10期页码：1227-1231
纸质出版：2012
DOI： 10.11834/jig.20121005
稿件说明：

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单建华. 改进权值函数的非局部均值去噪算法[J]. 中国图象图形学报, 2012,17(10):1227-1231. DOI： 10.11834/jig.20121005.

Shan Jianhua. Non-local means denoising algorithm with enhanced weight function[J]. Journal of Image and Graphics, 2012, 17(10): 1227-1231. DOI： 10.11834/jig.20121005.

摘要

针对非局部均值图像去噪算法在边缘处权值的不合理性

结合双边滤波算法

改进了权值函数。分析了空域中各种去噪算法中权重计算方法

指出非局部均值算法中权重计算方法不能区分边缘两边图像块对边缘处图像块的差异。为了度量这种差异

本文算法借鉴双边滤波思想

强调图像块中心像素地位

改进了权重函数。大量去噪实验结果表明

本文算法去噪后的PSNR值比经典NLM算法有较大改进

比最新改进NLM算法也有一定提高。

Abstract

The weight function of the non-local means denoising method has a certain degree of irrationality at edges

in which cannot distinguish between the denoising roles of the patches at the two sides of an edge. However

when the center pixel of the patch gets more attention

the different denoising roles can be measured. In the light of the bilateral filtering method

the weight function of the non-local means method is revised. Experimental results on several images show that our new method greatly outperforms the classical non-local means method

and it has certain advantages over the latest improved non-local means method.