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
fDate :
1/1/1998 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
