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19 January 2009 Optimized anisotropic spatial transforms for wavelet-based scalable multi-view video coding
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A 4-D wavelet-based transform is used for efficient and scalable compression of multi-view video data. It is composed of a 1-D temporal wavelet transform, namely Motion Compensated Temporal Filtering (MCTF), a 1-D view-directional wavelet transform, namely Disparity Compensated View Filtering (DCVF), and a 2-D spatial transform. The latter is the subject of study in this paper. Whereas usually fixed isotropic wavelet or wavelet packet transforms have been used in the past for the spatial decomposition of the temporal-view-directional highpass bands, we now introduce the usage of adaptive anisotropic wavelet packet transforms as a generalization of wavelet and wavelet packet transforms. An efficient algorithm to adaptively find the rate-distortion optimal joint anisotropic basis for temporal-view-directional multi-view video subbands is derived. It is shown that the adaptive anisotropic transform performs best, compared with conventional wavelet or wavelet packet transforms.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jens-Uwe Garbas, Béatrice Pesquet-Popescu, and André Kaup "Optimized anisotropic spatial transforms for wavelet-based scalable multi-view video coding", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571U (19 January 2009);

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