Image Fusion Algorithm Based on Energy of Laplacian and PCNN
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.
Li Meili Wang Hongmei Li Yanjun Zhang Ke
College of Astronautics, Northwestern Polytechnical University, Xian 710072, P.R. China College of College of Astronautics, Northwestern Polytechnical University, Xian 710072, P.R. China College of Astronautics, Northwestern Polytechnical University,Xian 710072, P.R. China
国际会议
International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)
北京
英文
1-6
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）