Table of Contents
ISRN Signal Processing
Volume 2011, Article ID 252734, 14 pages
Research Article

Fast Implementation of the Subband Weighting for 3D Wavelet Coding

1Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
2Graduate Institute of Electronics Engineering, National Taiwan University, Taipei 10617, Taiwan

Received 21 February 2011; Accepted 11 April 2011

Academic Editors: S. Lee, A. M. Peinado, E. Salerno, and B. Yuan

Copyright © 2011 Guan-Ju Peng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Performing optimal bit-allocation with 3D wavelet coding methods is difficult, because energy is not conserved after applying the motion-compensated temporal filtering (MCTF) process and the spatial wavelet transform. The problem has been solved by extending the 2D wavelet coefficients weighting method with the consideration of the complicated pixel connectivity resulting from the lifting-based MCTF process. However, the computation of weighting factors demands much computing time and vast amount of memory. In this paper, we propose a method, which facilitates the property of sparse matrices, to compute the subband weighing factors efficiently. The proposed method is employed for the 5–3 temporal filter and the 9–7 temporal filter in the lifting-based MCTF process. Experiments on various video sequences show that the computing time and memory needed for the computation of weighting factors are dramatically reduced by applying the proposed approach.