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基于小波包矢量量化图像压缩方法
引用本文:姜威,陈援非. 基于小波包矢量量化图像压缩方法[J]. 山东大学学报(理学版), 2003, 38(2): 67-71
作者姓名:姜威  陈援非
作者单位:山东大学,信息科学与工程学院,济南,250100;山东大学,信息科学与工程学院,济南,250100
摘    要:提出了一种新的数字图像压缩方案——基于小波包的区域联合矢量量化(WPVQ).WPVQ压缩方案充分利用了小波分析的三个重要特点,即零树特性、多层分解和适合跨区域联合编码.在具体实现过程中,WPVQ又采用了一系列措施来提高信噪比并降低算法复杂度.计算机模拟实验表明,同采用嵌入式零树编码(EZW)的JPEG2.000相比,WPVQ可以在高压缩比情况下保持良好的信噪比和主观效果,尤其适合于对图像进行高压缩比的压缩处理.

关 键 词:图像压缩  小波分析  矢量量化  小波包
文章编号:1671-9352(2003)02-0067-05
修稿时间:2003-01-08

A New Image Copression Scheme Based on Wavelet Packet Vector Quantization
JIANG Wei & CHEN Yuan fei. A New Image Copression Scheme Based on Wavelet Packet Vector Quantization[J]. Journal of Shandong University, 2003, 38(2): 67-71
Authors:JIANG Wei & CHEN Yuan fei
Abstract:A new image compression scheme WPVQ is proposed, which is based on wavelet packet and regional combining vector quantization. WPVQ scheme utilized three most important characteristics of wavelet transform include zerotree characteristic, multilevel wavelet decomposition and regional combining encoding. In the process of scheme realization, a series of measures are taken to enhance SNR and to reduce algorithm complexity. The simulation result shows that, cam pared with JPEG2000 which has adopted the Embedded Zerotree Wavelet algorithm (EZW), WPVQ can keep high PSNR and good subjective evaluation when CR is rather high, and especially, it's very suitable for high CR compression to digital images.
Keywords:image compression  vector quantization  wavelet transform  wavelet packet
本文献已被 CNKI 维普 万方数据 等数据库收录!
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