Adaptive image processing using rank-order filters with spatial connectivity of elements

被引:1
|
作者
Kober, V [1 ]
Mozerov, M [1 ]
Alvarez-Borrego, J [1 ]
机构
[1] CICESE, Dept Opt, Div Appl Phys, Ensenada 22860, Baja California, Mexico
关键词
rank-order filters; median filter; nonlinear adaptive filtering; noise smoothing;
D O I
10.1117/12.411577
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
A new approach to design rank-order filters based on an explicit use of spatial relations between image elements is proposed. Many rank-order processing techniques may be implemented by applying the approach, such as noise suppression, local contrast enhancement, and local detail extraction. The performance of the proposed rank-order filters for suppression a strong impulsive noise in a test interferogram-like image is compared to conventional rank-order algorithms. The comparisons are made using a mean square error, a mean absolute error, and a subjective human visual error criteria.
引用
收藏
页码:570 / 581
页数:12
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