A signal denoising algorithm based on overcomplete wavelet representations and Gaussian models

被引:36
作者
Deng, Guang [1 ]
Tay, David B. H.
Marusic, Slaven
机构
[1] La Trobe Univ, Dept Elect Engn, Bundoora, Vic 3083, Australia
[2] Univ New S Wales, Sch Elect Engn & Telecommun, Kensington, NSW 2033, Australia
关键词
wavelet transform; over-complete representations; denoising;
D O I
10.1016/j.sigpro.2006.08.008
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, we propose a simple signal estimation algorithm based on multiple wavelet representations and Gaussian observation models. The proposed algorithm has two major steps: a joint-optimum estimation of the wavelet coefficients and an averaging of the denoised images. Experimental results show that the denoising performance of proposed algorithm is comparable to that of the state of the art. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:866 / 876
页数:11
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