Wavelet Denoising of Multicomponent Images, using a Noise-Free Image
Paul Scheunders, Steve De Backer · 2006
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.