Image compression using multilayer neural networks based on Fast Bacterial Swarming Algorithm

被引:2
作者
Chu, Ying [1 ]
Mi, Hua [1 ]
Ji, Zhen [1 ]
Shao, Zi-Bo [2 ]
机构
[1] Shenzhen Univ, Fac Informat Engn, TI DSPs Lab, Shenzhen 518060, Peoples R China
[2] UCL, Dept Elect & Elect Engn, London, England
来源
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
关键词
image compression; multilayer neural network; Fast Bacterial Swarming Algorithm;
D O I
10.1109/ICMLC.2008.4620901
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A novel multilayer neural network based on Fast Bacterial Swarming Algorithm (FBSA) for image compression is presented in this paper. The proposed novel neural network combines the traditional structure of two-layer symmetric Artificial Neural Network (ANN) and the newly presented FBSA, which demonstrates quick and good performance for high-dimensional function optimization problems. Comparison of the qualities or the reconstructed images had shown the effective improvement using the proposed algorithm than using the conventional BP network.
引用
收藏
页码:2890 / +
页数:2
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