A salt & pepper noise filter based on local and global image information

被引:18
作者
Li, Zuoyong [1 ]
Cheng, Yong [2 ]
Tang, Kezong [3 ]
Xu, Yong [4 ]
Zhang, David [4 ,5 ]
机构
[1] Minjiang Univ, Dept Comp Sci, Fuzhou 350108, Peoples R China
[2] Nanjing Inst Technol, Sch Commun Engn, Nanjing 211167, Jiangsu, Peoples R China
[3] Sch Informat Engn, Jingdezhen Ceram Inst, Jingdezhen 333403, Peoples R China
[4] Harbin Inst Technol, Shenzhen Grad Sch, Biocomp Res Ctr, Shenzhen 518055, Peoples R China
[5] Hong Kong Polytech Univ, Biometr Res Ctr, Dept Comp, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Salt & pepper noise; Image denoising; Image thresholding; Local information; Global information; SWITCHING MEDIAN FILTER; IMPULSE NOISE; BILATERAL FILTER; REMOVAL; DETECTOR; REDUCTION; ALGORITHM; SEGMENTATION;
D O I
10.1016/j.neucom.2014.12.087
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Existing salt & pepper noise filters only use local image information to detect noise pixels, and neglect global image information. This makes them inapplicable to images with noise-free pixel blocks composed of uncorrupted pixels of gray level extremes, either 0 or 255. In addition, existing filters are hard to simultaneously obtain low miss detection (MD) and low false alarm (FA) in noise detection. To alleviate these issues, we proposed an innovative noise filter based on local and global image information. The proposed filter developed an image block-based method to more accurately estimate noise density of an image, and presented a global image information-based noise detection rectification method. The noise density estimation result was used in subsequent noise detection and rectification stages. Furthermore, the proposed filter combined and slightly revised noise detection schemes of two existing switching filters to improve the accuracy of noise detection. Experimental results on a series of images showed that the proposed filter achieved significant improvement, especially on images with noise-free pixel blocks of gray level extremes. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:172 / 185
页数:14
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