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
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560527