Local adaptive shrinkage threshold denoising using curvelet coefficients

被引：14

作者：

Bao, Q. Z. ^{[1
]}

Gao, J. H. ^{[1
]}

Chen, W. C. ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China

来源：

ELECTRONICS LETTERS | 2008年 / 44卷 / 04期

关键词：

Adaptive systems;

D O I：

10.1049/el:20082831

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 local adaptive shrinkage denoising approach based on neighbourhood windows and the scale of curvelet coefficients is presented. Mean filtering and median filtering according to the local characteristic of curvelet coefficients and noise level define the threshold function. Experimental results show that the proposed method outperforms the exiting curvelet shrinkage threshold method.

引用

页码：277 / 279

页数：3

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