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

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.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Paul Scheunders, Steve De Backer
• Keywords: Gaussian Scale Mixture, ICIP 2006, Image Processing, Remote Sensing Images, Wavelet Coefficient Marginals, Wavelet Denoising Procedure