Image fusion algorithm based on energy of Laplacian and PCNN

Meili Li, Hongmei Wang, Yanjun Li, Ke Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Owing to the global coupling and pulse synchronization characteristic of pulse coupled neural networks (PCNN), it has been proved to be suitable for image processing and successfully employed in image fusion. However, in almost all the literatures of image processing about PCNN, linking strength of each neuron is assigned the same value which is chosen by experiments. This is not consistent with the human vision system in which the responses to the region with notable features are stronger than that to the region with nonnotable features. It is more reasonable that notable features, rather than the same value, are employed to linking strength of each neuron. As notable feature, energy of Laplacian (EOL) is used to obtain the value of linking strength in PCNN in this paper. Experimental results demonstrate that the proposed algorithm outperforms Laplacian-based, wavelet-based, PCNN -based fusion algorithms.

源语言英语
主期刊名International Conference on Space Information Technology 2009
DOI
出版状态已出版 - 2010
活动International Conference on Space Information Technology 2009 - Beijing, 中国
期限: 26 11月 200927 11月 2009

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
7651
ISSN(印刷版)0277-786X

会议

会议International Conference on Space Information Technology 2009
国家/地区中国
Beijing
时期26/11/0927/11/09

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