An Improved Lattice Vector Quantization Based Scheme for Wavelet
Compression  Jason Knipe, Xiaobo Li and Bin Han   Wavelet
compression schemes have become powerful image compression [1,
13, 11, 6, 14, 5, 2, 10]. The EZW method [13] utilizen
prediction of wavelet coefficient significance to effectively
and efficiently compress images. A combination of EZW with
vector quantization was reported [11]. An even more powerful
method SPIHT has been recently preposed [10]. In this paper we
propose another compression scheme, ModLVQ, which is based on
SPIHT and includes the following modification: a modified
lattice vector codebook, a more efficient coder, effective
timing of the vector coding, and elimination of a minor
inefficiency in the original algorithm. The experimental results
are encouraging, especially on busy images ( which are more
difficult to compress) and complex portions of other images,
numerically and subjectively.  Back to Preprints and Publication