A new effective image fusion algorithm based on NSCT and PCNN

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	A new effective image fusion algorithm based on NSCT and PCNN
	Shen, Chao; Gao, Wei; Song, Zongxi; Yao, Tong; Li, Bin; Li, Feipeng; Wu, Mengjie
	2015-06-20
发表期刊	Journal of Information and Computational Science
卷号	12 期号:10 页码:4137-4144
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
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/27305
专题	空间光学技术研究室
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.

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