Markov random fields

Markov random field based image inpainting with context-aware label selection

In this paper, we propose a novel global Markov Random Field based image inpainting method with context-aware label selection. Context is determined based on the texture and color features in fixed image regions and is used to distinguish areas of …

Neighbourhood-consensus message passing as a framework for generalized iterated conditional expectations

Neighbourhood-consensus message passing and its potentials in image processing applications

In this paper, a novel algorithm for inference in Markov Random Fields (MRFs) is presented. Its goal is to find approximate maximum a posteriori estimates in a simple manner by combining neighbourhood influence of iterated conditional modes (ICM) and …

Efficient inference engine for Ising Markov random field model