Computational ghost imaging with compressed sensing based on a convolutional neural network

Hao Zhang; Deyang Duan

doi:10.3788/COL202119.101101

Journals >Chinese Optics Letters >Volume 19 >Issue 10 >Page 101101 > Article

Chinese Optics Letters
Vol. 19, Issue 10, 101101 (2021)

Computational ghost imaging with compressed sensing based on a convolutional neural network

Hao Zhang¹ and Deyang Duan^1、2、*

Author Affiliations

¹School of Physics and Physical Engineering, Qufu Normal University, Qufu 273165, China

²Shandong Provincial Key Laboratory of Laser Polarization and Information Technology, Research Institute of Laser, Qufu Normal University, Qufu 273165, China

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DOI: 10.3788/COL202119.101101 Cite this Article Set citation alerts

Hao Zhang, Deyang Duan. Computational ghost imaging with compressed sensing based on a convolutional neural network[J]. Chinese Optics Letters, 2021, 19(10): 101101 Copy Citation Text

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Hao Zhang, Deyang Duan. Computational ghost imaging with compressed sensing based on a convolutional neural network[J]. Chinese Optics Letters, 2021, 19(10): 101101

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