BFA BASED NEURAL NETWORK FOR IMAGE COMPRESSION

• 作 者: Chu Ying Mi Hua Ji Zhen Shao Z
• 机 构: TIDSPsLab,DepartmentofElectronic＆ElectricalEngineering,DepartmentofElectricalEngineering＆Electronics
• 出 处: 电子科学学刊：英文版
• 发表日期: 2008年3期
• 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 N
• 基金项目: Supported by the National Natural Science Foundation of China （No.60572100） and by the Royal Society （U.K.） International Joint Projects 2006/R3-Cost Share with NSFC （No.60711130233）.

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 networ