Salt-and-Pepper Noise Removal Based On Nonlocal Mean Filter

被引：0

作者：

Yin, Xunbo ^{[1
]}

Zhu, Jiaqi ^{[2
]}

机构：

[1] Harbin Inst Technol, Dept Math, Harbin 150006, Peoples R China

[2] Harbin Inst Technol, Ctr Composite Mat, Harbin, Peoples R China

来源：

2013 3RD INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, COMMUNICATIONS AND NETWORKS (CECNET) | 2013年

关键词：

Salt-and-Pepper noise; Nonlocal mean filter; Image denoise; MEDIAN FILTERS;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new two-phase method for salt-and-pepper noise removal is proposed which combines the adaptive median filter and nonlocal mean filter. In the first phase, the adaptive median filter is used to identity pixels which are likely to be contaminated by noise. In the second phase, the image is restored using the nonlocal mean filter which is firstly proposed for Gaussian noise removal. It has a strong ability to handle textures and repetitive structures. Experimental results show that the proposed algorithm achieved not only high PSNR but also pleasure visual results even when the noise level is high as 90%.

引用

页码：577 / 580

页数：4

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