Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization

被引:712
作者
Chan, RH [1 ]
Ho, CW
Nikolova, M
机构
[1] Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong, Peoples R China
[2] ENS, Ctr Math & Leurs Applicat, F-94235 Cachan, France
关键词
adaptive median filter; edge-preserving regularization; impulse noise;
D O I
10.1109/TIP.2005.852196
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise (noise candidates). In the second phase, the image is restored using a specialized regularization method that applies only to those selected noise candidates. In terms of edge preservation and noise suppression, our restored images show a significant improvement compared to those restored by using just nonlinear filters or regularization methods only. Our scheme can remove salt-and-pepper-noise with a noise level as high as 90%.
引用
收藏
页码:1479 / 1485
页数:7
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