Bayesian Image Denoising by Local Singularity Detection

Abstract

In this study, we present a wavelet-based method for removing noise from images and a Bayesian shrinkage factor was derived to estimate noise-free wavelet coefficients. This method took into account dependencies between wavelet coefficients. The interscale dependencies were measured from the local singularity and a conditional probability model was proposed… (More)

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