Paper
24 June 2005 Comparison of spatial M-band filter banks for t+2D video coding
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596016 (2005) https://doi.org/10.1117/12.631538
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
Abstract
Some of the most powerful schemes for scalable video coding are based on the so-called t+2D paradigm. In these schemes, temporal redundancy is first exploited through a motion-compensated multiresolution decomposition and the resulting temporal subband frames are then generally spatially decomposed with a wavelet transform. Thus, temporal and spatial scalability are achieved, in particular when also the motion information is properly managed between resolution levels. However, spatial wavelet transform may not be the most appropriate for exploiting the spatial redundancy of the detail subbands, since very often the power spectral density of these frames is not as concentrated at low frequencies as in the case of natural images. Recently, we have shown that orthonormal 4-band transforms can provide similar or even better results, especially for textured video sequences. In this paper, we elaborate on this idea and compare several M-band transforms for spatial decomposition of the temporal detail frames. Several M-band filter bank designs are given and lapped transforms are also considered. We show by simulation results that lapped transforms achieve a rate versus distortion performance that is comparable and sometimes better to that of the dyadic biorthogonal 9/7 wavelet transform, for a lower complexity.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregoire Pau and Béatrice Pesquet-Popescu "Comparison of spatial M-band filter banks for t+2D video coding", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596016 (24 June 2005); https://doi.org/10.1117/12.631538
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KEYWORDS
Transform theory

Video

Linear filtering

Spatial filters

Wavelet transforms

Video coding

Wavelets

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