Title :
A flexible structure for fully scalable motion-compensated 3-D DWT with emphasis on the impact of spatial scalability
Author :
Mehrseresht, Nagita ; Taubman, David
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
fDate :
3/1/2006 12:00:00 AM
Abstract :
We investigate the implications of the conventional "t+2-D" motion-compensated (MC) three-dimensional (3-D) discrete wavelet/subband transform structure for spatial scalability and propose a novel flexible structure for fully scalable video compression. In this structure, any number of levels of "pretemporal" spatial wavelet decomposition are performed on the original full resolution frames, followed by MC temporal decomposition of the subbands within each spatial resolution level. Further levels of "posttemporal" spatial decomposition may be performed on the spatiotemporal subbands to provide additional levels of spatial scalability and energy compaction. This structure allows us to trade energy compaction against the potential for artifacts at reduced spatial resolutions. More importantly, the structure permits extensive study of the interaction between spatial aliasing, scalability and energy compaction. We show that where the motion model fails, the "t+2-D" structure inevitably produces misaligned spatial aliasing artifacts in reduced resolution sequences. These artifacts can be removed by using pretemporal spatial decomposition. On the other hand, we also show that the "t+2-D" structure necessarily maximizes compression efficiency. We propose different schemes to minimize the loss of compression efficiency associated with pretemporal spatial decomposition.
Keywords :
data compression; discrete wavelet transforms; image motion analysis; image resolution; video coding; discrete wavelet-subband transform structure; fully scalable motion-compensated 3D DWT; posttemporal spatial decomposition; spatial scalability; spatial wavelet decomposition; video compression; Bit rate; Compaction; Discrete transforms; Discrete wavelet transforms; Energy resolution; Flexible structures; Scalability; Spatial resolution; Spatiotemporal phenomena; Video compression; Algorithms; Computer Communication Networks; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Signal Processing, Computer-Assisted; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.860619