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Content adaptive update for lifting-based motion-compensated temporal filtering

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4 Author(s)
L. Song ; Inst. of Image Commun. & Inf. Process., Shanghai Jiaotong Univ., China ; J. Xu ; H. Xiong ; F. Wu

Content adaptive update steps based on the property of the human vision system are presented for lifting-based motion-compensated temporal filtering (MCTF). Simulations confirm that the proposed method improves both the rate-distortion performance for MCFT and the visual quality significantly.

Published in:

Electronics Letters  (Volume:41 ,  Issue: 1 )