ICIP 2006, Atlanta, GA
 

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Paper:WA-P5.6
Session:Denoising - II
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Title: WAVELET DENOISING OF MULTICOMPONENT IMAGES, USING A NOISE-FREE IMAGE
Authors: Paul Scheunders; University of Antwerp 
 Steve De Backer; 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.