Title
Wavelet denoising of multicomponent images, using a noise-free image
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
conferenceObject
Publication
Los Alamitos, Calif. :IEEE, [*]
Subject
Physics
Engineering sciences. Technology
Source (book)
IEEE International Conference on Image Processing (ICIP 2006), October 8-11, 2006, Atlanta, Ga
ISBN
978-1-4244-0481-0
ISI
000245768501273
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. The prior model for the wavelet coefficient marginals is a Gaussian Scale Mixture (GSM) model. Experiments on color images and multispectral remote sensing images are conducted to validate the procedure.
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