Publication
Title
Wavelet denoising of multicomponent images, using a noise-free image
Author
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.
Language
English
Source (book)
IEEE International Conference on Image Processing (ICIP 2006), October 8-11, 2006, Atlanta, Ga
Publication
Los Alamitos, Calif. : IEEE, 2006
ISBN
978-1-4244-0481-0
Volume/pages
p. 2617-2620
ISI
000245768501273
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 24.02.2012
Last edited 16.10.2017
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