Wavelet-based adaptive vector quantization for still-image coding

被引：3
|
作者：
Chen, WS [1 ]
Hsieh, L [1 ]
机构：
[1] Natl Chi Nan Univ, Dept Elect Engn, Visual Informat Proc & CyberCommun Lab, Puli, Nan Tou, Taiwan
来源：
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY | 2002年 / 12卷 / 04期
关键词：
image coding; discrete wavelet transform; vector quantization; adaptive vector quantization;
D O I：
10.1002/ima.10024
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：166 / 174
页数：9
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