1 research outputs found
Wavelet Video Coding Algorithm Based on Energy Weighted Significance Probability Balancing Tree
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 \textbf{significance probability balancing 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 significance probability
balancing 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.Comment: 17 pages, 2 figures, submission to Multimedia Tools and Application