提出了基于人眼视觉属性和应用小波树结构２快速图象编码的矢量量化图象编码方法，简称为树结构快速矢量量化编码。在分析此方法矢量量化特点之后，设计产生码本的统计方法，并提出了矢量量化编码的快速算法。

A fast VQ image coding method based on humans visual attribution and applying wavelet tree-structure is proposed in this paper, naming tree-structure fast VQ coding. After the characteristics of VQ was analyzed, a statistic method generating a codebook was designed, and a fast VQ coding method was represented. This method can efficiently remove correlation in image data, obtaining a low transmission bit stream. The apparent advantage of the method is to establish statistics codebooks for various image data, and each treating need not generate codebooks with a high coding efficient achieved, while it can apply to any opportunity with wavelet transformation used in various image and signal data compression. The experimental results show: The fast VQ coding method proposed in this paper can achieve a compression ratio of 40 with a PSNR of 36.21dB, while its total performance is superior to other methods, and a real-time compression using this method may be implemented.