Adaptive edge detection in compound Gauss-Markov random fields using the minimum description length principle

Abstract

Edge location in compound Gauss-Markov random fields (CGMRF) is formulated as a parameter estimation problem. Since the number of parameters is unknown, a minimum-description-length (MDL) criterion is proposed for image restoration based on the CGMRF model.