A New Method for Removing Random-Valued Impulse Noise

被引:0
|
作者
Jin, Qiyu [1 ]
Bai, Li [2 ]
Yang, Jie [1 ]
Grama, Ion [3 ]
Liu, Quansheng [3 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[2] Univ Nottingham, Sch Comp Sci, Nottingham, England
[3] Univ Bretagne Sud, Laboratoire Mathmat Bretagne Atlant, UMR 6205, F-56017 Vannes, France
基金
中国博士后科学基金;
关键词
random-valued impulse noise; denoising; Optimal Weights Filter; Non-Local Means; Rank Ordered Absolute Difference; FILTERS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new algorithm for removing random-valued impulse noise is proposed. We use a standardized version of the Rank Ordered Absolute Differences statistic of Garnett et al. [1] to attribute weights to noisy pixels. These weights are then incorporated into the Optimal Weights Filter approach from [2,3] to construct a new filter. Simulation results show that our method performs significantly better than a number of existing techniques.
引用
收藏
页码:9 / 16
页数:8
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