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基于小波变换和矢量量化的人脸图像压缩
引用本文:黄晴.基于小波变换和矢量量化的人脸图像压缩[J].纯粹数学与应用数学,2007,23(1):104-107,111.
作者姓名:黄晴
作者单位:西北大学数学系,陕西,西安,710069;西北大学物理所,陕西,西安,710069
摘    要:提出一种新的在小波域内进行矢量量化的算法.该算法在对图像进行多级小波变换后,构造三个方向的跨频带矢量,同时采用分类矢量量化,非线性插补矢量量化和基于人眼视觉特性的加权矢量量化,提高了图像的编码效率和重构质量.仿真结果表明,该算法实现简单,在较低的编码率下,可达到较好的压缩效果.

关 键 词:人脸  小波变换  跨频带矢量构造  矢量量化
文章编号:1008-5513(2007)01-0104-04
收稿时间:2006-04-05
修稿时间:2006-04-05

Facial image compression based on wavelet transform and vector quantization
HUANG Qing.Facial image compression based on wavelet transform and vector quantization[J].Pure and Applied Mathematics,2007,23(1):104-107,111.
Authors:HUANG Qing
Abstract:A new vector quantization menthod in the wavelet transform domain is proposed.First,wavelet transform decomposes the original image,then the coefficients of the three directions are used to construct the band-cross vector,and then the vectors are classified.In addition,new vector quantization technologies are used in this algorithm.Simulation shows that this method can be realized easily and compress the wavelet image efficiently under lower coding rate.
Keywords:human face  wavelet transform  band-cross vector construction  vector quanti-zation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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