Peer group image enhancement

被引:126
作者
Kenney, C [1 ]
Deng, Y
Manjunath, BS
Hewer, G
机构
[1] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA
[2] USN, Air Warfare Ctr, China Lake, CA 93555 USA
关键词
image enhancement; image smoothing; noise removal; nonlinear filtering;
D O I
10.1109/83.902298
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Peer group image processing identifies "peer group" for each pixel and then replaces the pixel intensity with the average over the peer group. Two parameters provide direct control over which image features are selectively enhanced: area (number of pixels in the feature) and window diameter (window size needed to enclose the feature). A discussion is given of how these parameters determine which features in the image are smoothed or preserved. We show that the Fisher discriminant can be used to automatically adjust the PGA parameters at each point in the image. This local parameter selection allows smoothing over uniform regions while preserving features like corners and edges. This adaptive procedure extends to multilevel and color forms of PGA, Comparisons are made with a variety of standard filtering techniques and an analysis is given of computational complexity and convergence issues.
引用
收藏
页码:326 / 334
页数:9
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