Title
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Wavelet denoising of multicomponent images, using a noise-free image
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Author
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Abstract
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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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Language
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English
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Source (book)
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IEEE International Conference on Image Processing (ICIP 2006), October 8-11, 2006, Atlanta, Ga
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Publication
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Los Alamitos, Calif.
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IEEE
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2006
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ISBN
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978-1-4244-0481-0
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DOI
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10.1109/ICIP.2006.313023
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Volume/pages
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p. 2617-2620
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ISI
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000245768501273
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Full text (Publisher's DOI)
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