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Acta Optica Sinica, Volume. 44, Issue 10, 1026027(2024)

Image Synthesis of Compressive Light Field Displays with U-Net

Chen Gao1,2, Xiaodi Tan3,4,5、*, Haifeng Li6, and Xu Liu6
Author Affiliations
  • 1College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350117, Fujian , China
  • 2Fujian Provincial Key Laboratory of Photonics Technology, Fuzhou 350117, Fujian , China
  • 3Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fuzhou 350117, Fujian , China
  • 4Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fuzhou 350117, Fujian , China
  • 5Information Photonics Research Center, Fujian Normal University, Fuzhou 350117, Fujian , China
  • 6College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, Zhejiang , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (22)
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    References (32)
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    Figures & Tables(22)
    Principle of compressive light field display

    Fig. 1. Principle of compressive light field display

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    Schematic of projection matrix layout

    Fig. 2. Schematic of projection matrix layout

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    Principle of image synthesis for compressive light field displays based on ANN

    Fig. 3. Principle of image synthesis for compressive light field displays based on ANN

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    Architecture of stacked convolution neural network for compressive light field display patterns synthesis

    Fig. 4. Architecture of stacked convolution neural network for compressive light field display patterns synthesis

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    Architecture of U-Net for compressive light field display patterns synthesis

    Fig. 5. Architecture of U-Net for compressive light field display patterns synthesis

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    Training dataset generation of target light field. (a) Target light field for training; (b) image blocks cropped from viewpoint images; (c) training dataset spliced by image blocks

    Fig. 6. Training dataset generation of target light field. (a) Target light field for training; (b) image blocks cropped from viewpoint images; (c) training dataset spliced by image blocks

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    Target light field for testing

    Fig. 7. Target light field for testing

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    Training and testing results of network for multiplicative-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

    Fig. 8. Training and testing results of network for multiplicative-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

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    Training and testing results of network for additive-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

    Fig. 9. Training and testing results of network for additive-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

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    Training and testing results of network for polarized-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

    Fig. 10. Training and testing results of network for polarized-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

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    Training and testing results of network for hybrid-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

    Fig. 11. Training and testing results of network for hybrid-type compressive light field display patterns synthesis. (a) CNN; (b) U-Net

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    Multiplicative-type compressive light field display patterns synthesized by CNN, U-Net, and iterative algorithm

    Fig. 12. Multiplicative-type compressive light field display patterns synthesized by CNN, U-Net, and iterative algorithm

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    Additive-type compressive light field display patterns synthesized by CNN, U-Net, and iterative algorithm

    Fig. 13. Additive-type compressive light field display patterns synthesized by CNN, U-Net, and iterative algorithm

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    Polarized-type compressive light field display patterns synthesized by CNN, U-Net, and iterative algorithm

    Fig. 14. Polarized-type compressive light field display patterns synthesized by CNN, U-Net, and iterative algorithm

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    Hybrid-type compressive light field display patterns synthesized by CNN and U-Net

    Fig. 15. Hybrid-type compressive light field display patterns synthesized by CNN and U-Net

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    Viewpoint images of target light field and their enlargements

    Fig. 16. Viewpoint images of target light field and their enlargements

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    Simulated reconstruction results of viewpoint images by multiplicative-type compressive light field display

    Fig. 17. Simulated reconstruction results of viewpoint images by multiplicative-type compressive light field display

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    Simulated reconstruction results of viewpoint images by additive-type compressive light field display

    Fig. 18. Simulated reconstruction results of viewpoint images by additive-type compressive light field display

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    Simulated reconstruction results of viewpoint images by polarized-type compressive light field display

    Fig. 19. Simulated reconstruction results of viewpoint images by polarized-type compressive light field display

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    Simulated reconstruction results of viewpoint images by hybrid-type compressive light field display

    Fig. 20. Simulated reconstruction results of viewpoint images by hybrid-type compressive light field display

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    Relationship between image quality and iterations of three basic types of compressive light field displays. (a) Multiplicative-type; (b) additive-type; (c) polarized-type

    Fig. 21. Relationship between image quality and iterations of three basic types of compressive light field displays. (a) Multiplicative-type; (b) additive-type; (c) polarized-type

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    • Table 1. Optimization objective and variable range for three basic types of compressive light field displays

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      Table 1. Optimization objective and variable range for three basic types of compressive light field displays

      Type of compressive light field displaysOptimization objectiveVariable range
      Multiplicativeargminexp(Ax)E-Mbx=log t∈(-∞, 0]
      AdditiveargminAxE-Mbx=l∈[0, 1]
      Polarizedargminsin2(Ax)E-Mbx=θ∈[0, π /2]
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    Chen Gao, Xiaodi Tan, Haifeng Li, Xu Liu. Image Synthesis of Compressive Light Field Displays with U-Net[J]. Acta Optica Sinica, 2024, 44(10): 1026027

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    Paper Information

    Category: Physical Optics

    Received: Oct. 20, 2023

    Accepted: Dec. 1, 2023

    Published Online: May. 6, 2024

    The Author Email: Tan Xiaodi (xtan@fjnu.edu.cn)

    DOI:10.3788/AOS231683

    CSTR:32393.14.AOS231683

    Topics

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