DocumentCode
1255066
Title
An improved lattice vector quantization scheme for wavelet compression
Author
Knipe, Jason ; Li, Xiaobo ; Han, Bin
Author_Institution
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
Volume
46
Issue
1
fYear
1998
fDate
1/1/1998 12:00:00 AM
Firstpage
239
Lastpage
243
Abstract
We present an image compression scheme ModLVQ, which is based on set partitioning in hierarchical trees (SPIHT) and includes a modified lattice vector codebook and more effective timing of the vector coding. The experimental results are encouraging, especially on busy images (which are more difficult to compress) and complex portions of other images both numerically and subjectively
Keywords
image coding; timing; transform coding; vector quantisation; wavelet transforms; ModLVQ; busy images; experimental results; image compression; lattice vector quantization; set partitioning in hierarchical trees; timing; wavelet compression; Filters; Image coding; Lattices; Partitioning algorithms; Signal processing algorithms; Signal resolution; Timing; Vector quantization; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.651227
Filename
651227
Link To Document