NAMF: A Nonlocal Adaptive Mean Filter for Removal of Salt-and-Pepper Noise

被引：11
|
作者：
Zhang, Houwang [1 ,2 ]
Zhu, Yuan [1 ,2 ]
Zheng, Hanying [1 ,2 ]
机构：
[1] China Univ Geosci, Sch Automat, Wuhan, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2021年 / 2021卷
关键词：
MEDIAN FILTER;
D O I：
10.1155/2021/4127679
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a novel algorithm called a Nonlocal Adaptive Mean Filter (NAMF) for removing salt-and-pepper (SAP) noise from corrupted images is presented. We employ an efficient window detector with adaptive size to detect the noise. The noisy pixel is then replaced by the combination of its neighboring pixels, and finally, a SAP noise based nonlocal mean filter is used to reconstruct the intensity values of noisy pixels. Extensive experimental results demonstrate that NAMF can obtain better performance in terms of quality for restoring images at all levels of SAP noise.
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收藏
页数：10
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