• Acta Optica Sinica
  • Vol. 40, Issue 16, 1611003 (2020)
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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    DOI: 10.3788/AOS202040.1611003 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    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
    Flow chart of lens-free imaging processing
    Fig. 2. Flow chart of lens-free imaging processing
    Calculation principle of defocus distance
    Fig. 3. Calculation principle of defocus distance
    Object image reconstructed by back-propagation
    Fig. 4. Object image reconstructed by back-propagation
    Diagram of GAN principle
    Fig. 5. Diagram of GAN principle
    Main components of GAN. (a) GN; (b) DN
    Fig. 6. Main components of GAN. (a) GN; (b) DN
    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)
    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
    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
    Performance comparison between GAN and CNN
    Fig. 10. Performance comparison between GAN and CNN
    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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