BFA BASED NEURAL NETWORK FOR IMAGE COMPRESSION

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 experi...

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Bibliographic Details
Published in:Journal of electronics (China) 2008, Vol.25 (3), p.405-408
Main Authors: Chu, Ying, Mi, Hua, Ji, Zhen, Shao, Zibo, Wu, Q. H.
Format: Article
Language:English
Subjects:
Electrical Engineering
Engineering
人工神经网络系统
图象处理
计算机技术
识别模式
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Description
Summary: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 proposed method can improve the quality of the reconstructed images significantly.
ISSN:0217-9822
1993-0615
DOI:10.1007/s11767-007-0208-8