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一种进化模拟退火矢量量化图像编码新算法
引用本文:雍正正,罗萍,吴青华,孟丽.一种进化模拟退火矢量量化图像编码新算法[J].电子学报,2001,29(5):653-656.
作者姓名:雍正正  罗萍  吴青华  孟丽
作者单位:1. 深圳大学信息工程学院,深圳 518060;2. 英国利物浦大学电气与电子工程系,利物浦 L63 3GL
摘    要:模拟进化和模拟退火是解决全局优化问题的随机搜索技术,它们在工程领域有着广泛的应用.本文将这两种技术有机结合,提出了一种进化模拟退火算法,并用其解决图像编码矢量量化码书设计问题.实验表明,算法具有收敛速度快、码书性能佳等优点.

关 键 词:模拟进化  模拟退火  矢量量化  图像编码  
文章编号:0372-2112 (2001) 05-0653-04
收稿时间:2000-01-10

A New Vector Quantization Image Coding Algorithm Based on Evolutionary Simulated Annealing
YONG Zheng-zheng,LUO Ping,Q.H.Wu,L.Meng.A New Vector Quantization Image Coding Algorithm Based on Evolutionary Simulated Annealing[J].Acta Electronica Sinica,2001,29(5):653-656.
Authors:YONG Zheng-zheng  LUO Ping  QHWu  LMeng
Affiliation:1. Information Engineering Faculty of shenzhen Univ.,Shenzhen 518060,China;2. Department of Electrical Engineering and Electronics The University of Liverpool,Liverpool,L63 3GL,U.K.
Abstract:Simulated evolution and simulated annealing are two stochastic search algorithms for solving the global optimization problems.They have been widely used in different engineering areas.An evolutionary simulated annealing algorithm has been proposed in this paper which combines simulated evolution with simulated annealing to solve the codebook design problems of vector quantization for image coding.The simulation results show the algorithm has fast convergence rate and excellent performance for codebook.
Keywords:simulated evolution  simulated annealing  vector quantization  image coding
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