A new effective image fusion algorithm based on NSCT and PCNN
文献类型:期刊论文
作者 | Shen, Chao![]() ![]() ![]() ![]() ![]() |
刊名 | journal of information and computational science
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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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