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Wavelet Denoising of Multicomponent Images, using a Noise-Free Image

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2 Author(s)
Scheunders, P. ; Dept. of Phys., Antwerp Univ., Belgium ; De Backer, S.

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.

Published in:

Image Processing, 2006 IEEE International Conference on

Date of Conference:

8-11 Oct. 2006