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

页码：166 / 174

页数：9

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