Circular symmetric Laplacian mixture model in wavelet diffusion for dental image denoising

Abstract

In this paper, we try to find a particular combination of wavelet shrinkage and nonlinear diffusion for noise removal in dental images. We selected the wavelet diffusion and modified its automatic threshold selection by proposing new models for speckle related modulus. The Laplacian mixture model and circular symmetric Laplacian mixture models were evaluated and as it could be expected, the latter could make a better model of data because of its compatibility with heavy tailed structure of wavelet coefficients besides their interscale dependency.