采用空间矢量组合的小波图像分类矢量量化

该文提出了采用空间矢量组合对小波图像进行分类矢量量化的新方法。该方法充分利用了各高频子带系数的频率相关性和空间约束性将子带系数重组，依据组合矢量能量和零树矢量综合判定进行分类，整幅图像只需单一量化码书，分类信息占用比特数少，并采用了基于人眼视觉特性的加权均方误差准则进行矢量量化，提高了量化增益。仿真结果表明，该方法实现简单，在较低的编码率下，可达到很好的压缩效果。

Classified vector quantization of wavlet image using space vector combination

A new method which performs classified vector quantization to wavelet image using space vector combination is presented. The method rearranges the wavelet coefficients utilizing fully the space and frequency correlation of them and classifies the combined vector through joint judgement using the vector energy and zerotree vector. The whole image only need one quantization codebook, the classified information need a little bits to express, and vector quantization adopts weighted mean square error rule that using mankind visual characteristic to improve quantization gain. Simulation shows that this method can be realized easily and can compress the wavelet image efficiently under lower coding rate.