中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new effective image fusion algorithm based on NSCT and PCNN

文献类型:期刊论文

作者Shen, Chao; Gao, Wei; Song, Zongxi; Yao, Tong; Li, Bin; Li, Feipeng; Wu, Mengjie
刊名journal of information and computational science
出版日期2015-06-20
卷号12期号:10页码:4137-4144
英文摘要nonsubsampled contourlet transform (nsct) has the characteristics of multi-scale, multi-directional, multi-resolution and shift invariance. because of down sampling, traditional contourlet transform will cause gibbs phenomenon, nsct can overcome the disadvantage, obtaining better fusion image. due to pulse coupled neural networks (pcnn) excellent biological characteristics, it has already been widely applied to image processing. in this paper, we will combining nsct and pcnn, making full use of their advantages and applying to image fusion. the original image is by nsct transform, getting the decomposition coefficients and then calculating its spatial frequency, input them to pcnn. according to the firing times select fusion coefficients. experiment result has shown that, compared with the typical wavelet transform and contourlet transform method, the method proposed in this paper whether in subjective or objective is better than other methods. 1548-7741/copyright © 2015 binary information press
收录类别EI
语种英语
公开日期2015-12-08
源URL[http://ir.opt.ac.cn/handle/181661/27305]  
专题西安光学精密机械研究所_空间光学应用研究室
推荐引用方式
GB/T 7714
Shen, Chao,Gao, Wei,Song, Zongxi,et al. A new effective image fusion algorithm based on NSCT and PCNN[J]. journal of information and computational science,2015,12(10):4137-4144.
APA Shen, Chao.,Gao, Wei.,Song, Zongxi.,Yao, Tong.,Li, Bin.,...&Wu, Mengjie.(2015).A new effective image fusion algorithm based on NSCT and PCNN.journal of information and computational science,12(10),4137-4144.
MLA Shen, Chao,et al."A new effective image fusion algorithm based on NSCT and PCNN".journal of information and computational science 12.10(2015):4137-4144.

入库方式: OAI收割

来源:西安光学精密机械研究所

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