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2013 | OriginalPaper | Chapter
Error Concealment via Best Matching Block Selection Strategy
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In this paper, we propose a new error concealment method based on best matching block selection strategy, which is implemented under a Bayesian probabilistic framework. Best selected image block is forwarded to a block-based bilateral filter for restoring missing pixels, while operates in block wise manner. During the Bayesian framework, a non-local spatial correlation is introduced in block selection. Meanwhile, a Markov Random Field Prior is built as an image prior model. Finally, experimental results show favorable results of proposed algorithm against traditional methods.