21 April 1995 Vector quantization by hierarchical packing of embedded-truncated lattices
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Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206719
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
Abstract
The purpose of this paper is to introduce a new vector quantizer (VQ) which takes place in a temporal-adaptative coding scheme for the compression of digital image sequences. Our approach, which has to perform a fast codebook construction, unify both efficient coding methods: a fast lattice encoding and an unbalanced tree-structured codebook design according to a distortion vs. rate tradeoff. Moreover, this tree-structured lattice vector quantizer (TSLVQ) has a convenient property: because of its lattice structure, no reproduction vectors have to be transmitted. Briefly this TSLVQ technique is based on the hierarchical packing of embedded truncated lattices. We investigate here its design: by, first, explaining how to determine the support lattice and secondly how to obtain the hierarchical set of truncated lattice structures which can be optimally embedded with respect to the hierarchical packing. We then use a simple quantization procedure and describe the corresponding tree-structured codebook. Finally we present two unbalanced tree-structured codebook design algorithms based on the BFOS distortion vs. rate criterion.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vincent Ricordel, Vincent Ricordel, Claude Labit, Claude Labit, } "Vector quantization by hierarchical packing of embedded-truncated lattices", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206719; https://doi.org/10.1117/12.206719
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