Efficient vector quantization using genetic algorithm

被引:21
作者
Sun, HW [1 ]
Lam, KY
Chung, SL
Dong, WM
Gu, M
Sun, JG
机构
[1] Open Univ Hong Kong, Sch Business & Adm, Kowloon, Hong Kong, Peoples R China
[2] Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China
关键词
genetic algorithm; principal component analysis; vector quantization; image compression;
D O I
10.1007/s00521-004-0455-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码:203 / 211
页数:9
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