A New Adaptive Switching Median Filter

被引：117

作者：

Akkoul, Smail ^{[1
]}

Ledee, Roger ^{[1
]}

Leconge, Remy ^{[1
]}

Harba, Rachid ^{[1
]}

机构：

[1] Univ Orleans, Inst Pluridisciplinaire Rech Ingn Syst Mecan Ener, F-45067 Orleans 2, France

来源：

IEEE SIGNAL PROCESSING LETTERS | 2010年 / 17卷 / 06期

关键词：

Detail-preserving; image restoration; impulse noise detection; switching median filter;

D O I：

10.1109/LSP.2010.2048646

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 new Adaptive Switching Median (ASWM) filter for removing impulse noise from corrupted images is presented. The originality of ASWM is that no a priori Threshold is needed as in the case of a classical Switching Median filter. Instead, Threshold is computed locally from image pixels intensity values in a sliding window. Results show that ASWM provides better performance in terms of PSNR and MAE than many other median filter variants for random-valued impulse noise. In addition it can preserve more image details in a high noise environment.

引用

页码：587 / 590

页数：4

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