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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
ISSN19430655
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
DOI10.1109/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
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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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