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基于预测矢量量化的图像压缩研究
引用本文:胡昊,王红星,张铁英.基于预测矢量量化的图像压缩研究[J].海军航空工程学院学报,2006,21(1):169-171, 182.
作者姓名:胡昊  王红星  张铁英
作者单位:1. 海军航空工程学院电子信息工程系,山东,烟台,264001
2. 海军航空工程学院电子信息工程系,山东,烟台,264001;北京航空航天大学,北京,100083
摘    要:针对预测器与矢量量化器的联合设计问题,通过分析常用的开环法与闭环法的设计特点,给出了结合二者优点的半闭环设计法并通过仿真验证了其有效性。实验结果显示,该方法设计的预测矢量量化器具有更灵活的设计方式和较好图像重建质量。

关 键 词:邻近像素均值预测矢量量化  图像压缩  半闭环法
修稿时间:2005年9月20日

Research on image compression based on predictive vector quantization
HU Hao,WANG Hongxing and ZHANG Tieying.Research on image compression based on predictive vector quantization[J].Journal of Naval Aeronautical Engineering Institute,2006,21(1):169-171, 182.
Authors:HU Hao  WANG Hongxing and ZHANG Tieying
Institution:Department of Electronic and Information Engineering,NAEI,Yantai,Shandong,264001,Department of Electronic and Information Engineering,NAEI,Yantai,Shandong,264001;Beijing University of Aeronautics and Astronautics,Beijing,100083 and Department of Electronic and Information Engineering,NAEI,Yantai,Shandong,264001
Abstract:By analyzing the characteristics of the common opened-loop PVQ (Predictive Vector Quantization) and closed-loop PVQ, half-closed loop PVQ, which combines the advantages of the two methods, is presented to get a better technique of prediction-VQ joint design. The validity of designation is testified by simulation. The result of test shows that half-closed loop PVQ has more flexible mode and better rebuilding quality.
Keywords:NMPVQ  image compression  half-closed loop
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