Efficient vector quantization using genetic algorithm

CASIA OpenIR > 09年以前成果

	Efficient vector quantization using genetic algorithm
	Sun, Hongwei ; Lam, Kwok-Yan ; Chung, Siu-Leung ; Dong, Weiming; Gu, Ming ; Sun, Jia-Guang
发表期刊	Neural Computing & Applications
	2005-05
卷号	14 期号:3 页码:203-211
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.
关键词	Genetic Algorithm Principal Component Analysis Vector Quantization Image Compression
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13121
专题	09年以前成果
通讯作者	Chung, Siu-Leung
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.

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Efficient vector qua（548KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载