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 PSNR>32dB的重构图像,比特率高达 0.141 bpp.而且实现方法十分简单。
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.
出处
《电子与信息学报》
EI
CSCD
北大核心
2002年第7期900-904,共5页
Journal of Electronics & Information Technology
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
图像
压缩
9/7 biorthogonal wavelet, Wavelet transformation, Band-cross vector construction, Vector Quantization(VQ), Progressive Constructive Clustering(PCC)
