DocumentCode :
1348858
Title :
Lattice labeling algorithms for vector quantization
Author :
Wang, Chun ; Cao, Hugh Q. ; Li, Weiping ; Tzeng, Kenneth K.
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
Volume :
8
Issue :
2
fYear :
1998
fDate :
4/1/1998 12:00:00 AM
Firstpage :
206
Lastpage :
220
Abstract :
Labeling algorithms for construction-A and construction-B lattices with respect to pyramid boundaries are presented. The algorithms are developed based on relations between lattices and linear block codes as well as on transformations among several specifically defined lattices and their translations. The mechanism for the construction of these algorithms can be considered as an extension of that given by Fischer (1986). The algorithms are noted to achieve 100% efficiency in utilizing index bits for binary representations. Furthermore, it is determined that many important lattices (E8, Λ16...) can be indexed to arbitrary norms and dimensions. The complexity of these algorithms in terms of both memory and computation is quite low and thus it is possible to develop practical lattice vector quantizers of large norms and high dimensions using these algorithms
Keywords :
block codes; computational complexity; image coding; image representation; lattice theory; transforms; vector quantisation; binary representations; complexity; computation; construction-A lattices; construction-B lattices; dimensions; index bits; lattice labeling algorithms; linear block codes; memory; norms; pyramid boundaries; transformations; vector quantization; Block codes; Data compression; Data mining; Decoding; Encoding; Iterative algorithms; Labeling; Lattices; Vector quantization; Video compression;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/76.664105
Filename :
664105
Link To Document :
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