Wavelet-based signal de-noising via simple singularities approximation

被引：43
作者：
Bruni, V
Vitulano, D
机构：
[1] CNR, Inst Appl Calcolo Maura Picone, I-00161 Rome, Italy
[2] Univ Roma La Sapienza, Dipartimento Metodi & Modelli Matemat Sci Appl, I-00161 Rome, Italy
来源：
SIGNAL PROCESSING | 2006年 / 86卷 / 04期
关键词：
image and signal de-noising; wavelet transform; overlapping effects principle; Wiener filter;
D O I：
10.1016/j.sigpro.2005.06.017
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：
In this paper WISDOW (wavelet-based image and signal de-noising via overlapping waves) is presented. It consists of a novel model for noise removal using wavelets. Its main peculiarity is the modelling of it noisy signal as composition of elementary atoms which behave as interfering waves in the wavelet domain. Signal recovery is then performed by means of the overlapping effects principle at each scale level. Early theoretical and experimental results show the great potential of the proposed model. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：859 / 876
页数：18
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