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Efficient vector quantization using genetic algorithm
Sun, Hongwei; Lam, Kwok-Yan; Chung, Siu-Leung; Dong, Weiming; Gu, Ming; Sun, Jia-Guang
2005-05
发表期刊Neural Computing & Applications
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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