首页 | 本学科首页   官方微博 | 高级检索  
     

基于遗传LBG的图像矢量量化改进算法
引用本文:陈倩.基于遗传LBG的图像矢量量化改进算法[J].计算机科学,2012,39(7):280-281,286.
作者姓名:陈倩
作者单位:东莞理工学院计算机学院 东莞523808;浙江大学计算机科学与技术学院 杭州310027
摘    要:矢量量化在图像压缩中有着举足轻重的地位。码书的设计是算法的关键,经典的LBG聚类算法由于对初始码书的选择非常敏感会导致不同的量化效果。把遗传算法和LBG算法相结合,充分利用LBG算法的局部搜索能力和遗传算法的全局寻优能力,能够在大大改善码本质量的同时加快算法的收敛速度。

关 键 词:图像矢量量化  LBG聚类算法  遗传算法

Vector Quantization Method for Image Compression Based on GA and LBG Clustering Algorithm
CHEN Qian.Vector Quantization Method for Image Compression Based on GA and LBG Clustering Algorithm[J].Computer Science,2012,39(7):280-281,286.
Authors:CHEN Qian
Affiliation:CHEN Qian(Department of Computer Science and Technology,Dongguan University of Technology,Dongguan 523808,China)(College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China)
Abstract:Vector quantization is a very important image compression algorithm and its key is the design of codebook.The classic LI3G clustering algorithm results in different performance because of sensitive selection of the initial cluster center. This paper applied LI3(;clustering algorithm into genetic algorithm to optimize cluster center, which uses the advantages of high local search ability of I_I3G and global optimization ability of GA. hhe hybrid method can not only improve the duality of codebook but also speed algorithm convergence.
Keywords:Image vector quanti}ation  I_BG clustering algorithm  Genetic algorithm
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机科学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号