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Acta Optica Sinica, Volume. 40, Issue 16, 1611003(2020)

Lens-Free Imaging Method Based on Generative Adversarial Networks

Chao Zhang1,2, Tao Xing1,2, Zizhen Liu1,2, Haokun He1,2, Hua Shen1,2、*, Yinxu Bian1,2, and Rihong Zhu1,2
Author Affiliations
  • 1School of Electronic and Optical Engineering, Nanjing University of Science & Technology, Nanjing, Jiangsu 210094, China;
  • 2Key Laboratory of Advanced Solid Laser, Ministry of Industry and Information Technology, Nanjing, Jiangsu 210094, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
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    References (28)
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    Lens-free imaging experimental device and light path. (a) Diagram of experimental device; (b) diagram of light path

    Fig. 1. Lens-free imaging experimental device and light path. (a) Diagram of experimental device; (b) diagram of light path

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    Flow chart of lens-free imaging processing

    Fig. 2. Flow chart of lens-free imaging processing

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    Calculation principle of defocus distance

    Fig. 3. Calculation principle of defocus distance

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    Object image reconstructed by back-propagation

    Fig. 4. Object image reconstructed by back-propagation

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    Diagram of GAN principle

    Fig. 5. Diagram of GAN principle

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    Main components of GAN. (a) GN; (b) DN

    Fig. 6. Main components of GAN. (a) GN; (b) DN

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    Image processing results based on GAN. (a) GAN input; (b) partial enlarged image of Fig.7(a); (c) GAN output; (d) partial enlarged image of Fig.7(c)

    Fig. 7. Image processing results based on GAN. (a) GAN input; (b) partial enlarged image of Fig.7(a); (c) GAN output; (d) partial enlarged image of Fig.7(c)

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    Apical bud slitting images. (a) Lens-free image; (b) reconstructed object plane image through back-propagation; (c) GAN result; (d) microscope image

    Fig. 8. Apical bud slitting images. (a) Lens-free image; (b) reconstructed object plane image through back-propagation; (c) GAN result; (d) microscope image

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    PSNR. (a) Reconstructed object plane image through back-propagation; (b) CNN result; (c) GAN result; (d) microscope image

    Fig. 9. PSNR. (a) Reconstructed object plane image through back-propagation; (b) CNN result; (c) GAN result; (d) microscope image

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    Performance comparison between GAN and CNN

    Fig. 10. Performance comparison between GAN and CNN

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    Chao Zhang, Tao Xing, Zizhen Liu, Haokun He, Hua Shen, Yinxu Bian, Rihong Zhu. Lens-Free Imaging Method Based on Generative Adversarial Networks[J]. Acta Optica Sinica, 2020, 40(16): 1611003

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 14, 2020

    Accepted: May. 18, 2020

    Published Online: Aug. 7, 2020

    The Author Email: Shen Hua (edward_bayun@163.com)

    DOI:10.3788/AOS202040.1611003

    Topics

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