Wavelet denoising of multicomponent images, using a Gaussian Scale Mixture model

In this paper, denoising on multicomponent images is performed. The presented procedure is a spatial wavelet-based denoising techniques, based on Bayesian least-squares optimization procedures, using a prior model for the wavelet coefficients that account for the inter-correlations between the multicomponent bands. The applied prior model for the… CONTINUE READING

2 Figures & Tables