Image Denoising Based on Wavelet Domain Markov Random Field Prior Model

An image denoising method was proposed based on an anisotropic Markov random field(MRF)prior model.This method modeled the configurations of the wavelet coefficients as an anisotropic MRF.This model took into account inter-and intrascale dependencies between wavelet coefficients and it was adaptive to the wavelet subbands corresponding to three orientations in the image.Based on this prior model in a Bayesian framework,a spatially adaptive Bayesian shrinkage function was obtained and each modified coefficient was decided separately.Experimental results demonstrate this method improves the denoising performance and preserves the details of the image.