An Edge-Adaptive Block Matching Algorithm for Error Concealment

A widely-used block matching algorithm (BMA) for error concealment may suffer from the deteriorated quality of a concealed block that includes multiple objects in different motion directions. This paper proposes an edge-adaptive BMA that decomposes a damaged 16 times 16 macroblock (MB) into four 8 times 8 blocks and conceals the 8 times 8 blocks together only when they belong to the same object. The edge-adaptive BMA detects edges on MB boundaries and uses the number and positions of the edges to determine which 8 times 8 blocks belong to the same object. The proposed algorithm improves PSNR by an average of 0.27 dB compared with the existing BMA for error concealment.