TY - GEN
T1 - Image fusion algorithm based on energy of Laplacian and PCNN
AU - Li, Meili
AU - Wang, Hongmei
AU - Li, Yanjun
AU - Zhang, Ke
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77953465400&partnerID=8YFLogxK
U2 - 10.1117/12.855556
DO - 10.1117/12.855556
M3 - 会议稿件
AN - SCOPUS:77953465400
SN - 9780819480798
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - International Conference on Space Information Technology 2009
T2 - International Conference on Space Information Technology 2009
Y2 - 26 November 2009 through 27 November 2009
ER -