MRF-based adaptive detection approach: A framework for restoring images degraded by Gaussian

Abstract

This paper presents a spatially adaptive algorithm for image denoising. Using the statistics of the degraded image, a method for estimating the parameters of the additive noise is provided. This method will also define the constraints in the noise detection process, which, coupled with the first order Markov Random Field (MRF), are used to determine the degree of the noise. Based on the estimated degree of noise, an adaptive low-pass filter with variable window sizes is used to control the degree of smoothness of the reconstructed image. Experimental results demonstrate the capability of the proposed algorithm. © 2014 International Information Institute.