Signal denoising using neighbouring dual-tree complex wavelet coefficients

被引：23
|
作者：
Chen, G. [1 ]
Zhu, W. -P. [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源：
IET SIGNAL PROCESSING | 2012年 / 6卷 / 02期
基金：
加拿大自然科学与工程研究理事会;
关键词：
BIVARIATE SHRINKAGE; IMAGE; MULTIWAVELETS; DEPENDENCY;
D O I：
10.1049/iet-spr.2010.0262
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：
Denoising is a very important preprocessing step in signal/image processing. In this study, a new signal denoising algorithm is proposed by using neighbouring wavelet coefficients. The dual-tree complex wavelet transform is employed because of its property of approximate shift invariance, which is very important in signal denoising. Both translation-invariant (TI) and non-TI versions of the denoising algorithm are considered. Experimental results show that the proposed method outperforms other existing methods in the literature for denoising both artificial and real-life noisy signals.
引用
收藏
页码：143 / 147
页数：5
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