A noise-exclusive adaptive filtering framework for removing impulse noise in digital images

被引：28
|
作者：
Kong, H [1 ]
Guan, L [1 ]
机构：
[1] Univ Sydney, Dept Elect Engn, Sydney, NSW 2006, Australia
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING | 1998年 / 45卷 / 03期
关键词：
D O I：
10.1109/82.664255
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A class of noise-exclusive adaptive filters for removing impulse noise from digital images is developed and analyzed in this brief. The filtering scheme is based on noise detection using a self-organizing neural network and noise excluding estimation. These filters suppress impulse noise effectively while preserving fine image details. Applications of the filters to several images show that their properties of efficient impulse noise suppression, edges and fine details preservation, minimum signal distortion, or minimum mean square error are better than those of the traditional median-type filters.
引用
收藏
页码：422 / 428
页数：7
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