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Technical Program
Paper Detail
| Paper: | WA-P5.6 |
| Session: | Denoising - II |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| 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. |
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