DocumentCode
1402853
Title
Adaptive wavelet packet based image coding with optimal entropy-constrained lattice vector quantizer (ECLVQ)
Author
Kim, Won-Ha ; Nguyen, Truong ; Hu, Yu-Hen
Author_Institution
Comput. Res. & Applications, Los Alamos Nat. Lab., NM, USA
Volume
46
Issue
7
fYear
1998
fDate
7/1/1998 12:00:00 AM
Firstpage
2019
Lastpage
2026
Abstract
In this work, wavelet basis and source coding are jointly optimized, while specifying the source coding strategy as entropy-constrained lattice vector quantizer (ECLVQ). The presented approach differs from previous works in which the choice of wavelet basis is quasioptimal, but the quantizer set is optimally chosen
Keywords
adaptive codes; entropy codes; image coding; optimisation; source coding; transform coding; vector quantisation; wavelet transforms; ECLVQ; adaptive wavelet packet based image coding; optimal entropy-constrained lattice vector quantizer; source coding; wavelet basis coding; Background noise; Computational modeling; Image coding; Lattices; Memory management; Noise level; Signal to noise ratio; Source coding; Table lookup; Wavelet packets;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.700974
Filename
700974
Link To Document