Image denoising based on scale-space mixture modeling of wavelet coefficients

In this paper, we propose a novel hierarchical statistical model for image wavelet coefficients. A simple classification scheme is used to construct a model that captures interscale and intrascale dependencies of wavelet coefficients. Applications to image denoising are presented. We develop a simple algorithm that outperforms other wavelet denoising schemes that exploit first order statistics, or inter- or intra-scale dependencies alone.