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ICIP
2006
IEEE

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

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

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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.

Paul Scheunders, Steve De Backer

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Gaussian Scale Mixture | ICIP 2006 | Image Processing | Remote Sensing Images | Wavelet Coefficient Marginals | Wavelet Denoising Procedure |

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Added	22 Oct 2009
Updated	22 Oct 2009
Type	Conference
Year	2006
Where	ICIP
Authors	Paul Scheunders, Steve De Backer

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