Deep Learning Based Computational Ghost Imaging Alleviating the Effects of Atmospheric Turbulence

Yangeng Zhao; Bing Dong; Ming Liu; Zhiqiang Zhou; Jing Zhou

doi:10.3788/AOS202141.1111001

Acta Optica Sinica, Volume. 41, Issue 11, 1111001(2021)

Deep Learning Based Computational Ghost Imaging Alleviating the Effects of Atmospheric Turbulence

Yangeng Zhao¹, Bing Dong^1,2、*, Ming Liu¹, Zhiqiang Zhou¹, and Jing Zhou¹

Author Affiliations

¹School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

²Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing 100081, China

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Yangeng Zhao, Bing Dong, Ming Liu, Zhiqiang Zhou, Jing Zhou. Deep Learning Based Computational Ghost Imaging Alleviating the Effects of Atmospheric Turbulence[J]. Acta Optica Sinica, 2021, 41(11): 1111001

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Paper Information

Category: Imaging Systems

Received: Nov. 17, 2020

Accepted: Dec. 30, 2020

Published Online: Jun. 7, 2021

The Author Email: Dong Bing (bdong@bit.edu.cn)

DOI:10.3788/AOS202141.1111001

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