基于多级SMVQ的图象编码算法  

An Image Encoding Algorithm Based on the Multilevel Side- Match Vector Quantizer

作　　者：史红刚[1] 周利莉[1] 陈健[1] 王继芳[1] 

机构地区：[1]河南郑州信息工程大学信息工程学院

出　　处：《微计算机信息》2005年第10X期92-94,共3页Control & Automation

基　　金：河南省教育厅基金项目(sp200303099)

摘　　要：边缘匹配矢量量化器(SMVQ)是有限状态矢量量化器(FSVQ)的一个分支。该量化器适合于对图像块间相关性高的图像进行压缩编码,其优点是在比特率相近的情况下,编码质量高于传统的穷尽搜索矢量量化编码器,但其缺点是计算量大和比特率固定。本文提出了一种改进的边缘匹配矢量量化器。测试结果表明,该算法是变比特率编码算法,它比边缘匹配矢量量化器的比特率低,编码速度快,编码质量得到提高。The Side-Match Vector Quantizer（SMVQ） is a branch of the Finite-State Vector Quantizer （FSVQ）. This quantizer is suitable for encoding the image in. which there is a high correlation between neighboring image blocks. The virtue of this quantizer is that it can obtain higher image encoding quality than the traditional full-search vector quantizer with nearly the same bit rate. However, it has the shortcomings of complex computation and fixed bit rate, A modified side-match vector quantizer is presented in this paper. The experimental result shows that the proposed vector quantizer is bit-rate variable. Compared with the SMVQ, the bit rate of the proposed algorithm is lower, its encoding time is shorter, and its encoding quality is a little better.

关 键 词：有限状态 边缘匹配 图象编码 矢量量化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]