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Signal compression using finite state vector quantization with optimized state codebook size

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5 Author(s)
Cziho, A. ; Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France ; Solaiman, B. ; Lovanyi, I. ; Cazuguel, G.
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This paper investigates the finite state vector quantization signal compression approach. A new coding scheme is proposed which optimizes the performance of the so-called conditional histogram next-state function design. Optimization is performed by determining for every input block the subcodebook size, that minimizes the expected value of the number of bits in the compressed bit-flow. This is done under the constraint to ensure the same reconstruction quality as that of the full-search VQ. Two different state-correction algorithms are studied. The proposed schema for image compression is tested and is shown to give better results than classical FSVQ approaches

Published in:

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on  (Volume:2 )

Date of Conference:

2-4 Jul 1997