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基于主分量分析和遗传算法的码书设计算法
孙宏伟1,2; 董未名1; 宋斌恒2; 孙家广1,2
Source Publication计算机辅助设计与图形学学报
2004-12
Volume16Issue:12Pages:1651-1655
Other AbstractThis paper proposes an efficient codebook design algorithm for image compression. We firstly sort the training vectors using principal component analysis to reduce the computational complexity, and then make full use of the near global optimal searching ability of genetic algorithm to compute the codebook. The experimental results show that our algorithm outperforms the popular LBG algorithm in terms of computational requirement, and even when the codebook size is as small as less than 64, our algorithm still shows its advantage.
Keyword矢量量化 码书设计 主分量分析 遗传算法
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13389
Collection09年以前成果
Corresponding Author孙宏伟
Affiliation1.清华大学计算机科学与技术系
2.清华大学软件学院
Recommended Citation
GB/T 7714
孙宏伟,董未名,宋斌恒,等. 基于主分量分析和遗传算法的码书设计算法[J]. 计算机辅助设计与图形学学报,2004,16(12):1651-1655.
APA 孙宏伟,董未名,宋斌恒,&孙家广.(2004).基于主分量分析和遗传算法的码书设计算法.计算机辅助设计与图形学学报,16(12),1651-1655.
MLA 孙宏伟,et al."基于主分量分析和遗传算法的码书设计算法".计算机辅助设计与图形学学报 16.12(2004):1651-1655.
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