We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
A wavelet video coding algorithm with balanced significance probability tree based on energy weighting.
- Authors
Song, Chuan-Ming; Fu, Bo; Wang, Xiang-Hai; Fu, Ming-Zhe
- Abstract
This work presents a 3-D wavelet video coding algorithm. By analyzing the contribution of each biorthogonal wavelet basis to reconstructed signal's energy, we weight each wavelet subband according to its basis energy. Based on distribution of weighted coefficients, we further discuss a 3-D wavelet tree structure named balanced significance probability tree, which places the coefficients with similar probabilities of being significant on the same layer. It is implemented by using hybrid spatial orientation tree and temporal-domain block tree. Subsequently, a novel 3-D wavelet video coding algorithm is proposed based on the energy-weighted balanced significance probability tree. Experimental results illustrate that our algorithm always achieves good reconstruction quality for different classes of video sequences. Compared with asymmetric 3-D orientation tree, the average peak signal-to-noise ratio (PSNR) gain of our algorithm are 1.24dB, 2.54dB and 2.57dB for luminance (Y) and chrominance (U,V) components, respectively. Compared with temporal-spatial orientation tree algorithm, our algorithm gains 0.38dB, 2.92dB and 2.39dB higher PSNR separately for Y, U, and V components. In addition, the proposed algorithm requires lower computation cost than those of the above two algorithms.
- Subjects
VIDEO coding; CODING theory; ALGORITHMS; SIGNAL-to-noise ratio; PROBABILITY theory; TREES
- Publication
Multimedia Tools & Applications, 2019, Vol 78, Issue 21, p30877
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-018-7133-8