Abstract
AbstractIn this paper the problem of correlation noise modeling (CNM) for Transform Domain Wyner-Ziv (TDWZ) video coding is considered. The CNM algorithm from DISCOVER codec is analyzed. An extended set of assumptions about correlation noise in transform domain is considered and a new CNM algorithm is proposed. The proposed algorithm is a generalization of the reference one for the case of non-stationary noise. The evaluation results show that the proposed method demonstrates higher performance than the state-of-the-art approach on test video sequences with complex motion.KeywordsDistributed video codingWyner-ziv video codingVirtual dependency channelCorrelation noiseTransform domain
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