Image Processing for Error Concealment

Transmission of videos in error prone environments such as mobile communications, may lead to video corruption or loss so that received visual quality is degraded. Therefore, it is essential to implement efficient and low complexity error concealment methods which allow visually reducing the degradation caused by the missing information. The contribution of this work is to report the results of a comparative analysis of five temporal error concealment (TEC) techniques in critical situations, where the frames are corrupted with different errors pattern covering 50% of the image area. The results indicate, according to two similarity metrics (SAD-BM and SAD-OBM), that the 'Best motion vector neighbor' and 'Zero motion vector' are the best TEC options. These results could help in the development of a robust but simple TEC algorithm against several errors distribution. This could be valuable in mobile video applications in which user's video requests are becoming more and more demanding and therefore significant loss of information could be present due to node congestion or excessive delay.