DocumentCode :
2617159
Title :
Efficient indexing method for lattice quantization applications
Author :
Moureau, J.M. ; Loyer, P. ; Antonini, M.
Author_Institution :
CRAN-CNRS, Univ. Henri Poincare, Nancy, France
Volume :
3
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
447
Abstract :
Indexing the codevectors is a key problem in lattice quantization applications. We propose a method based on the idea of a coding table encompassing a set of points chosen as small as possible and called the fundamental region. Our method works for both spherical and pyramidal codebooks. It provides a good tradeoff between computational complexity and storage requirements. Finally, it improves of 3 dB on the signal-to-noise ratio of the LBG algorithm at a given memory cost
Keywords :
computational complexity; decoding; encoding; vector quantisation; LBG algorithm; SNR; codevectors indexing; coding table; computational complexity; decoding; fundamental region; indexing method; lattice quantization; memory cost; pyramidal codebooks; signal-to-noise ratio; spherical codebooks; storage requirements; vector quantization; Bit rate; Books; Computational complexity; Costs; Decoding; Indexing; Lattices; Rate-distortion; Shape; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560527
Filename :
560527
Link To Document :
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