Object Reconstruction Using the Binomial Theorem for Ghost Imaging

doi:10.1109/JPHOT.2018.2880430

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	Object Reconstruction Using the Binomial Theorem for Ghost Imaging
	Yue, Cong; Chen, Ping; Lv, Xiaofeng; Wang, Chenglong; Guo, Shuxu; Song, Junfeng; Gong, Wenlin; Gao, Fengli
	2018
发表期刊	Ieee Photonics Journal
ISSN	19430655
卷号	10 期号:6
摘要	Noise term in the reconstruction matrix in ghost imaging is a major cause of blurring imaging results. To remedy this problem, we propose a new ghost imaging method based on the binomial theorem to reduce the level of noise. In our method, images with low-level noise can be generated by constructing a binomial formula using high-order imaging results that are acquired by reintroducing the reconstruction result back into the imaging formula repeatedly. Experimental and simulation results demonstrate that our method is effective in improving imaging quality and the anti-interference performance and reducing computing time, making it useful for practical applications. 2009-2012 IEEE.
关键词	Image reconstruction Algebra Computation theory Imaging techniques Laser beams Quantum optics Speckle
DOI	10.1109/JPHOT.2018.2880430
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60742
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Yue, Cong,Chen, Ping,Lv, Xiaofeng,et al. Object Reconstruction Using the Binomial Theorem for Ghost Imaging[J]. Ieee Photonics Journal,2018,10(6).
APA	Yue, Cong.,Chen, Ping.,Lv, Xiaofeng.,Wang, Chenglong.,Guo, Shuxu.,...&Gao, Fengli.(2018).Object Reconstruction Using the Binomial Theorem for Ghost Imaging.Ieee Photonics Journal,10(6).
MLA	Yue, Cong,et al."Object Reconstruction Using the Binomial Theorem for Ghost Imaging".Ieee Photonics Journal 10.6(2018).

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