Efficient vector quantization using genetic algorithm

	Efficient vector quantization using genetic algorithm
	Sun, Hongwei ; Lam, Kwok-Yan ; Chung, Siu-Leung ; Dong, Weiming; Gu, Ming ; Sun, Jia-Guang
刊名	Neural Computing & Applications
	2005-05
卷号	14 期号:3 页码:203-211
关键词	Genetic algorithm Principal component analysis Vector quantization Image compression
通讯作者	Chung, Siu-Leung
英文摘要	This paper proposes a new codebook generation algorithm for image data compression using a combined scheme of principal component analysis (PCA) and genetic algorithm (GA). The combined scheme makes full use of the near global optimal searching ability of GA and the computation complexity reduction of PCA to compute the codebook. The experimental results show that our algorithm outperforms the popular LBG algorithm in terms of computational efficiency and image compression performance.
收录类别	SCI
语种	英语
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/13121]
专题	自动化研究所_09年以前成果
作者单位	1.Tsinghua University 2.The Open University of Hong Kong
推荐引用方式 GB/T 7714	Sun, Hongwei,Lam, Kwok-Yan,Chung, Siu-Leung,et al. Efficient vector quantization using genetic algorithm[J]. Neural Computing & Applications,2005,14(3):203-211.
APA	Sun, Hongwei,Lam, Kwok-Yan,Chung, Siu-Leung,Dong, Weiming,Gu, Ming,&Sun, Jia-Guang.(2005).Efficient vector quantization using genetic algorithm.Neural Computing & Applications,14(3),203-211.
MLA	Sun, Hongwei,et al."Efficient vector quantization using genetic algorithm".Neural Computing & Applications 14.3(2005):203-211.