Paper Info
Title
Wavelet-Based Adaptive Vector Quantization For Still-Image Coding
Abstract
Wavelet transform coding (WTC) with vector quantization (VQ) has been shown to be efficient in the application of image compression. An adaptive vector quantization coding scheme with the Gold-Washing dynamic codebook-refining mechanism in the wavelet domain, called symmetric wavelet transform-based adaptive vector quantization (SWT-GW-AVQ), is proposed for still-image coding in this article. The experimental results show that the GW codebook-refining mechanism working in the wavelet domain rather than the spatial domain is very efficient, and the SVVT-GW-AVQ coding scheme may improve the peak signal-to-noise ratio (PSNR) of the reconstructed images with a lower encoding time. (C) 2002 Wiley Periodicals, Inc.
Year
DOI
Venue
2002
10.1002/ima.10024
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Keywords
Field
DocType
image coding, discrete wavelet transform, vector quantization, adaptive vector quantization
Lifting scheme,Computer science,Vector quantization,Discrete wavelet transform,Artificial intelligence,Wavelet packet decomposition,Wavelet,Wavelet transform,Computer vision,Algorithm,Speech recognition,Second-generation wavelet transform,Stationary wavelet transform
Journal
Volume
Issue
ISSN
12
4
0899-9457
Citations 
PageRank 
References 
0
0.34
12
Authors
2
Name
Order
Citations
PageRank
Wen-Shiung Chen19312.36
Lili Hsieh2183.08