DocumentCode
1273883
Title
Wavelet based image denoising: VQ-Bayesian technique
Author
John, M. ; Sundaresan, S. Narasimha ; Ramakrishna, P.V.
Author_Institution
Dept. of Electron. Eng., Anna Univ., Madras, India
Volume
35
Issue
19
fYear
1999
fDate
9/16/1999 12:00:00 AM
Firstpage
1625
Lastpage
1626
Abstract
An image denoising algorithm for the wavelet-transform domain of an image is presented. In the proposed method, a Bayesian estimation procedure is used to restore the higher scale wavelet coefficients, while vector quantisation is used to realise a spatially adaptive Bayesian estimation procedure for the lower scales. The proposed algorithm provides an improved noise suppression performance as compared to that of the denoising algorithm of Mallat and Hwang (1992) and also that of Malfait and Roose (1997)
Keywords
Bayes methods; image enhancement; interference suppression; noise; vector quantisation; wavelet transforms; Bayesian estimation procedure; VQ-Bayesian technique; higher scale wavelet coefficients; image denoising algorithm; noise suppression performance; spatially adaptive Bayesian estimation procedure; vector quantisation; wavelet based image denoising; wavelet-transform domain;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19991150
Filename
807031
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