BFA BASED NEURAL NETWORK FOR IMAGE COMPRESSION

被引：6

作者：

Chu Ying Mi Hua Ji Zhen TI DSPs Lab Faculty of Information Engineering Shenzhen University Shenzhen China Shao Zibo Department of Electronic Electrical Engineering University College London London WCE JE UK Q H Wu Department of Electrical Engineering Electronics The University of Liverpool Liverpool L GJ UK ^{[518060
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机构：

来源：

JournalofElectronics(China) | 2008年 / 03期

关键词：

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算]; TP391.41 [];

学科分类号：

140502 [人工智能];

摘要：

A novel Bacterial Foraging Algorithm (BFA) based neural network is presented for image compression. To improve the quality of the decompressed images, the concepts of reproduction, elimination and dispersal in BFA are firstly introduced into neural network in the proposed algorithm. Extensive experiments are conducted on standard testing images and the results show that the pro- posed method can improve the quality of the reconstructed images significantly.

引用

页码：405 / 408

页数：4