基于改进边缘匹配矢量量化器的图象编码算法  

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

作　　者：陆哲明[1] 孙圣和[1] 

机构地区：[1]哈尔滨工业大学自动化测试与控制系

出　　处：《计算机工程与科学》2000年第6期19-23,共5页Computer Engineering & Science

摘　　要：边缘匹配 (Side- Match)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象块间相关性高的图象进行压缩编码 ,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 ,编码质量有所提高。The side-match vector quantizer(SM VQ) is a branch of the finite-state vector quantizer(FSVQ).This quantizer is su itable for encoding the image in which there is a high correlation between neigh boring image blocks.The virtue of this quantizer is that it can obtain higher im age encoding quality than the traditional full-search vector quantizer with nea rly 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 pap er.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：边缘匹配 图象编码 算法 矢量量化器 计算机 

分 类 号：TN919.81[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]