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基于9/7双正交小波的一种高效矢量量化算法
引用本文:潘建寿,孙宏伟.基于9/7双正交小波的一种高效矢量量化算法[J].电子与信息学报,2002,24(7):900-904.
作者姓名:潘建寿  孙宏伟
作者单位:西北大学电子科学系,西安,710069
摘    要:该文提出一种用于图像压缩的矢量量化算法,该算法用9/7双正交小波对图像进行分解,利用三个方向上各自小波系数之间的相关性,构造符合其特征的跨频带矢量,提高了图像的编码效率和重构质量,同时采用了新的矢量量化技术渐进构造聚类(PCC),实验结果证明,该算法在未熵编码的条件下,获得 PSNR32dB的重构图像,比特率高达 0.141 bpp.而且实现方法十分简单。

关 键 词:9/7双正交小波    小波变换    跨频带矢量构造    矢量量化    渐进构造聚类
收稿时间:2000-9-12
修稿时间:2000年9月12日

An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet
Pan Jianshou,Sun Hongwei.An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet[J].Journal of Electronics & Information Technology,2002,24(7):900-904.
Authors:Pan Jianshou  Sun Hongwei
Affiliation:Dept. of Electronic Sceince Northwest University Xi'an 710069 China
Abstract:A novel wavelet-based vector quantization (VQ) algorithm is presented in this paper. In this algorithm, first, 9/7 biorthogonal wavelet transform decomposes the original image, then the correlation of the three direction's wavelet coefficients is used to construct the band-cross vector. Therefore, the high coding efficiercy is obtained. In addition, a new VQ technology is used in this algorithm to improve the coding efficiency and the quality of the code-book. The experimental results show that this coding scheme, no entropy-coding, can get a reconstruction quality(PSNR>32dB) at a very low bit rate(0.142 bpp) with high feasibility.
Keywords:9/7 biorthogonal wavelet  Wavelet transformation  Band-cross vector construction  Vector Quantization(VQ)  Progressive Constructive Clustering(PCC)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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