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

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.

[1]  Electronics Letters , 1965, Nature.

[2]  John E. Shelton.  People's Republic of China , 1973 .

[3]  B. Prasada,et al.  Adaptive quantization of picture signals using spatial masking , 1977, Proceedings of the IEEE.

[4]  Thierry Pun,et al.  A Stochastic Approach to Content Adaptive Digital Image Watermarking , 1999, Information Hiding.

[5]  Shipeng Li,et al.  Motion compensated lifting wavelet and its application in video coding , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[6]  David S. Taubman,et al.  Highly scalable video compression using a lifting-based 3D wavelet transform with deformable mesh motion compensation , 2002, ICIP.

[7]  Mihaela van der Schaar,et al.  Content-adaptive filtering in the UMCTF framework , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[8]  David S. Taubman,et al.  Adaptively weighted update steps in motion compensated lifting based scalable video compression , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[9]  John W. Woods,et al.  Improvements to the MC-EZBC scalable video coder , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[10]  Feng Wu,et al.  Exploiting temporal correlation with adaptive block-size motion alignment for 3D wavelet coding , 2004, IS&T/SPIE Electronic Imaging.