Smooth sigmoid wavelet shrinkage for non-parametric estimation

被引：21

作者：

Atto, Abdourrahmane M. ^{[1
]}

Pastor, Dominique ^{[1
]}

Mercier, Gregoire ^{[1
]}

机构：

[1] Technopole Brest Iroise, TELECOM Bretagne, Inst TELECOM, TAMCIC,CNRS,UMR 2872, F-29238 Brest, France

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 | 2008年

关键词：

estimation; wavelet transforms; Gaussian noise; image enhancement; image restoration;

D O I：

10.1109/ICASSP.2008.4518347

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper presents a new sigmoid-based WaveShrink function. The shrinkage obtained via this function is particularly suitable to reduce noise without impacting significantly the statistical properties of the signal to be recovered. The proposed WaveShrink function depends on a parameter that makes it possible to control the attenuation degree imposed to the data, and thus, allows for a flexible shrinkage.

引用

页码：3265 / 3268

页数：4

共 5 条

[1] Regularization of wavelet approximations - Rejoinder [J].