Error concealment based on adaptive MRF-MAP framework

Error concealment is a post-processing tool at the decoder side to recover the lost information of video sequences after transmitting over the noisy communication channels. An adaptive error concealment algorithm based on Markov Random Field (MRF) - Maximum a Posteriori (MAP) framework is proposed. Firstly, Discrimination Analysis is used to detect edges. So, edge threshold T for the Huber function of MRF is adaptively obtained, according to the edge or non-edge area that current pixel belongs to. Then, in order to eliminate the blocking artifacts, a slope k is also introduced to the linear part of the Huber function. Simulation results show that the proposed algorithm can recover images with the higher quality, comparing to the existing algorithms.