Laser & Optoelectronics Progress, Volume. 62, Issue 17, 1739010(2025)

Deep Learning-Driven Single-Pixel Imaging: Advances and Challenges (Invited)

Kai Song1,2,3, Hongrui Liu1,2,3, Yaoxing Bian1,2,3、*, Shijun Zhao1,2,3, Dong Wang1,2,3, and Liantuan Xiao1,2,3,4、**
Author Affiliations
  • 1College of Physics and Optoelectronics Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 2Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 3Shanxi Key Laboratory of Precision Measurement Physics, Taiyuan University of Technology, Taiyuan 030024, Shanxi ,China
  • 4State Key Laboratory of Quantum Optics Technologies and Devices, Shanxi University, Taiyuan 030006, Shanxi , China
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    References(144)

    [40] Wang Q, Mi J S. Research progress of single-pixel imaging based on deep learning[J]. Laser & Optoelectronics Progress, 61, 1000005(2024).

    [56] Li C. An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing[D](2010).

    [72] Lecun Y, Bengio Y. Convolutional networks for images, speech, and time series[M]. The handbook of brain theory and neural networks, 255-258(1995).

    [75] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C](2017).

    [76] Ho J, Jain A, Abbeel P. Denoising diffusion probabilistic models[C], 6840-6851(2020).

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    Kai Song, Hongrui Liu, Yaoxing Bian, Shijun Zhao, Dong Wang, Liantuan Xiao. Deep Learning-Driven Single-Pixel Imaging: Advances and Challenges (Invited)[J]. Laser & Optoelectronics Progress, 2025, 62(17): 1739010

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    Paper Information

    Category: AI for Optics

    Received: Mar. 17, 2025

    Accepted: Apr. 24, 2025

    Published Online: Sep. 16, 2025

    The Author Email: Yaoxing Bian (bianyaoxing@tyut.edu.cn), Liantuan Xiao (xlt@sxu.edu.cn)

    DOI:10.3788/LOP250831

    CSTR:32186.14.LOP250831

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