在格结构的分析与研究的基础上，详细讨论了格的重要算法，并给出了小波域图象对象的格矢量量化方法。结合小波变换系数的分布特点，对某些小波变换系数进行标量量化时，采用了一种连续逼近的方法，并利用所讨论了算法对多数小波变换系数进行了格矢量量化。实验表明，格矢量量化速度快，编码效率高，能较好地达到多媒体通信中图象压缩编码要求。

Based on the analysis and research of the structure of lattice, this paper in detail discusses some important algorithms about lattice and gives lattice vector quantization algorithms of image objects in wavelet domain. In order to realize efficiently scalar quantization of some wavelet coefficients, this paper presents a successive approximation algorithm applying the distribution of the wavelet coefficients. At the same time it uses lattice vector quantization for some wavelet coefficients. It shows by examples that lattice vector quantization not only accelerates the quantization but also raises the compression efficiency, which satisfies the image compression's needs for multimedia communications.