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
fDate :
9/16/1999 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19991150
