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.
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.
基金
Supported by the National Natural Science Foundation of China (No.60572100)
by the Royal Society (U.K.) International Joint Projects 2006/R3-Cost Share with NSFC (No.60711130233)
关键词
人工神经网络系统
图象处理
识别模式
计算机技术
Bacterial Foraging Algorithm （BFA）
Artificial Neural Network （ANN）
Back Propagation（BP）
Image compression
