Two Key Technologies Influencing on Computational Ghost Imaging Quality

Rongke Gao; Lusha Yan; Chenxiang Xu; Dekui Li; Zhongyi Guo

doi:10.3788/LOP202158.1811011

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 18 >Page 1811011 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 18, 1811011 (2021)

Two Key Technologies Influencing on Computational Ghost Imaging Quality

Rongke Gao¹, Lusha Yan^1、2, Chenxiang Xu², Dekui Li², and Zhongyi Guo^2、*

Author Affiliations

¹School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui 230009, China

²School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, China

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DOI: 10.3788/LOP202158.1811011 Cite this Article Set citation alerts

Rongke Gao, Lusha Yan, Chenxiang Xu, Dekui Li, Zhongyi Guo. Two Key Technologies Influencing on Computational Ghost Imaging Quality[J]. Laser & Optoelectronics Progress, 2021, 58(18): 1811011 Copy Citation Text

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Rongke Gao, Lusha Yan, Chenxiang Xu, Dekui Li, Zhongyi Guo. Two Key Technologies Influencing on Computational Ghost Imaging Quality[J]. Laser & Optoelectronics Progress, 2021, 58(18): 1811011

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