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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.