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

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

Hao Zhang1 and Deyang Duan1,2、*
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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    Setup of the CGI system with CS-CNN. SLM, spatial light modulator; BD, bucket detector.

    Fig. 1. Setup of the CGI system with CS-CNN. SLM, spatial light modulator; BD, bucket detector.

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    Network structure of the proposed CS-CNN.

    Fig. 2. Network structure of the proposed CS-CNN.

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    Ghost images reconstructed by CGI with CS-CNN. (a1) Classical image. The numbers of frames in the reconstructed ghost images are (a2) 30, (a3) 50, (a4) 70, and (a5) 90. (b) PSNR and SSIM curves of the reconstructed images with different frame numbers.

    Fig. 3. Ghost images reconstructed by CGI with CS-CNN. (a1) Classical image. The numbers of frames in the reconstructed ghost images are (a2) 30, (a3) 50, (a4) 70, and (a5) 90. (b) PSNR and SSIM curves of the reconstructed images with different frame numbers.

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    Detailed comparison between the ghost images reconstructed using the conventional CS algorithm, DL algorithm, and CS-CNN algorithm. The number of frames is (a) 30, (b) 50, (c) 70, and (d) 90.

    Fig. 4. Detailed comparison between the ghost images reconstructed using the conventional CS algorithm, DL algorithm, and CS-CNN algorithm. The number of frames is (a) 30, (b) 50, (c) 70, and (d) 90.

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    PSNR and SSIM curves of reconstructed images of CS, DL, and CS-CNN with different frame numbers.

    Fig. 5. PSNR and SSIM curves of reconstructed images of CS, DL, and CS-CNN with different frame numbers.

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    Hao Zhang, Deyang Duan, "Computational ghost imaging with compressed sensing based on a convolutional neural network," Chin. Opt. Lett. 19, 101101 (2021)

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    Paper Information

    Category: Imaging Systems and Image Processing

    Received: Jan. 4, 2021

    Accepted: Mar. 26, 2021

    Posted: Mar. 29, 2021

    Published Online: Aug. 16, 2021

    The Author Email: Deyang Duan (duandy2015@qfnu.edu.cn)

    DOI:10.3788/COL202119.101101

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology