Acta Photonica Sinica, Volume. 51, Issue 3, 0311003(2022)

Comparison on Performance of Deep Q Network based Single-pixel Imaging Using Different Orthogonal Transformations

Zhirun WANG1, Wenjing ZHAO1, Aiping ZHAI1, and Dong WANG1,2、*
Author Affiliations
  • 1College of Physics and Optoelectronics,Taiyuan University of Technology,Taiyuan 030024,China
  • 2Key Laboratory of Advanced Transducers and Intelligent Control Systems,Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan 030024,China
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    References(23)

    [19] Jie SU, Aiping ZHAI, Wenjing ZHAO et al. Hadamard single-pixel imaging using adaptive oblique zigzag sampling. Acta Photonica Sinica, 50, 0311003(2021).

    [21] Xiwei ZHAO, Xue WANG, Wenying ZHANG et al. Gold matrix ghost imaging. arXiv preprint arXiv, 1911.05451(2019).

    [23] V MNIH, K KAVUKCUOGLU, D SILVER et al. Playing atari with deep reinforcement learning. arXiv preprint arXiv, 1312.5602(2013).

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    Zhirun WANG, Wenjing ZHAO, Aiping ZHAI, Dong WANG. Comparison on Performance of Deep Q Network based Single-pixel Imaging Using Different Orthogonal Transformations[J]. Acta Photonica Sinica, 2022, 51(3): 0311003

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    Paper Information

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    Received: Jul. 28, 2021

    Accepted: Sep. 9, 2021

    Published Online: Apr. 8, 2022

    The Author Email: WANG Dong (wangdong@tyut.edu.cn)

    DOI:10.3788/gzxb20225103.0311003

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