Chinese Optics Letters, Volume. 19, Issue 11, 110501(2021)

Real-time gradation-expressible amplitude-modulation-type electroholography based on binary-weighted computer-generated hologram

Ren Noguchi1, Kohei Suzuki1, Yoshiki Moriguchi1, Minoru Oikawa2, Yuichiro Mori2, Takashi Kakue3, Tomoyoshi Shimobaba3, Tomoyoshi Ito3, and Naoki Takada2、*
Author Affiliations
  • 1Graduate School of Integrated Arts and Sciences, Kochi University, Kochi 780-8520, Japan
  • 2Research and Education Faculty, Kochi University, Kochi 780-8520, Japan
  • 3Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan
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    Figures & Tables(19)
    Binary PWM sequence patterns corresponding to gray levels 76, 127, and 255.
    Light intensities of object points reconstructed from BW-CGHs and conventional binary CGH.
    Assignment of the object points of the 3D object to the bit planes.
    Simple method for calculating the respective bit planes B0, B1, and B2.
    Proposed method for calculating bit planes B0, B1, and B2 by grouping the gradation values of the object points.
    Bit-plane flags in the respective groups.
    Multi-GPU cluster electroholography system with a single SLM.
    Pipeline processing for real-time gradation-expressible electroholography based on BW-CGH.
    Eight-gradation holographic 3D video reproduction using bit plans B0, B1, and B2 on a DMD.
    Eight-gradation holographic 3D video reproduction using the bit planes B0, B1, and B2 on a DMD.
    Optical setup used in the evaluation experiment.
    Gradation values of 3D model “Jack-o’-lantern” and “Stanford bunny.”
    Snapshot of a reconstructed 3D video “Jack-o’-lantern” (Data File 1).
    Snapshot of a reconstructed 3D video “Stanford bunny” (Data File 2).
    Measured light intensities obtained from the snapshots of the reconstructed 3D videos (Data File 1 and Data File 2).
    • Table 1. Specifications of the Personal Computers Comprising the Multi-GPU Cluster System

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      Table 1. Specifications of the Personal Computers Comprising the Multi-GPU Cluster System

      CPUIntel Core i7 7800X (Clock speed: 3.5 GHz)
      Main memoryDDR4-2666 16 GB
      OSLinux (CentOS 7.6 x86_64)
      SoftwareNVIDIA CUDA 10.1 SDK, OpenGL, MPICH 3.2
      GPU boardNVIDIA GeForce GTX 1080 Ti
    • Table 2. Number of the Object Points of 3D Models for the Duplicate Calculation and the Proposed Methods

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      Table 2. Number of the Object Points of 3D Models for the Duplicate Calculation and the Proposed Methods

       Number of Object Points
      Jack-o’-LanternStanford Bunny
      B096,96054,302
      B1100,84052,758
      B297,91221,857
      Group 728,4887380
      Group 626,56031,969
      Group 623,51211,285
      Group 519,3523668
      Group 423,0642414
      Group 222,72810,995
      Group 121,896778
    • Table 3. Comparison of the Display Time Interval using a PC with a Single GPU

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      Table 3. Comparison of the Display Time Interval using a PC with a Single GPU

       Display Time Interval [ms]Speed-up
      Duplicate Calculation MethodProposed Method
      Jack-o’-lantern591.18335.951.76
      Stanford bunny264.15141.531.87
    • Table 4. Comparison of the Display Time Interval using the Multi-GPU Cluster System

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      Table 4. Comparison of the Display Time Interval using the Multi-GPU Cluster System

       Display Time Interval [ms]Speed-up
      Duplicate Calculation MethodProposed Method
      Jack-o’-lantern57.2129.891.91
      Stanford bunny29.8713.492.21
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    Ren Noguchi, Kohei Suzuki, Yoshiki Moriguchi, Minoru Oikawa, Yuichiro Mori, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito, Naoki Takada. Real-time gradation-expressible amplitude-modulation-type electroholography based on binary-weighted computer-generated hologram[J]. Chinese Optics Letters, 2021, 19(11): 110501

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    Paper Information

    Category: Diffraction, Gratings, and Holography

    Received: May. 7, 2021

    Accepted: Sep. 14, 2021

    Posted: Sep. 15, 2021

    Published Online: Oct. 14, 2021

    The Author Email: Naoki Takada (ntakada@is.kochi-u.ac.jp)

    DOI:10.3788/COL202119.110501

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