DocumentCode
1217582
Title
Multiwavelets denoising using neighboring coefficients
Author
Chen, G.Y. ; Bui, T.D.
Author_Institution
Dept. of Comput. Sci., Concordia Univ., Montreal, Canada
Volume
10
Issue
7
fYear
2003
fDate
7/1/2003 12:00:00 AM
Firstpage
211
Lastpage
214
Abstract
Multiwavelets give better results than single wavelets for signal denoising. We study multiwavelet thresholding by incorporating neighboring coefficients. Experimental results show that this approach is better than the conventional approach, which only uses the term-by-term multiwavelet denoising. Also, it outperforms neighbor single wavelet denoising for some standard test signals and real-life images. This is an extension to Cai and Silverman´s (see Sankhya: Ind. J. Stat. B, pt.2, vol.63, p.127-148, 2001) work.
Keywords
image denoising; wavelet transforms; multiwavelet thresholding; multiwavelets denoising; neighbor single wavelet denoising; neighboring coefficients; real-life images; signal denoising; standard test signals; Gaussian distribution; Hidden Markov models; Higher order statistics; Noise reduction; Signal denoising; Testing; Wavelet coefficients; Wavelet domain; Wavelet transforms; White noise;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2003.811586
Filename
1203786
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