Order Statistics Filters in Wavelet Domain for Color Image Processing

被引：0
|
作者：
Javier Gallegos-Funes, Francisco [1 ]
Martinez-Valdes, Jesus [1 ]
Manuel De-la-Rosa-Vazques, Jose [1 ]
机构：
[1] UPALM SEPI ESIME, Mech & Elect Engn Higher Sch, Natl Polytech Inst Mexico, Mexico City 07738, DF, Mexico
来源：
MICAI 2007: SIXTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/MICAI.2007.20
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present different order statistics filters in the Wavelet domain for noise suppression in color image processing. All proposed filters are defined as two filters in the wavelet domain: the first filter is based on redundancy of approaches and the second one is the wavelet domain iterative center weighted median algorithm. With this structure different implementations for the estimation of the noisy sample are already carried out using different order statistics algorithms.
引用
收藏
页码：121 / 130
页数：10
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