Efficient adaptive MRF-MAP error concealment of video sequences

A new adaptive error concealment method based on Markov random field (MRF)-maximum a posteriori (MAP) is proposed as a post-processing tool at the decoder side to recover the lost information of video sequences after transmitting over the communication channels. In order to protect the edges, 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 smooth area that the pixel belongs to. 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 method can recover image with the higher quality, comparing to the existing error concealment methods.