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.
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.
出处
《纯粹数学与应用数学》
CSCD
北大核心
2007年第1期104-107,111,共5页
Pure and Applied Mathematics
关键词
人脸
小波变换
跨频带矢量构造
矢量量化
human face, wavelet transform, band-cross vector construction, vector quantization
