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Diffraction-engineered holography: Beyond the depth representation limit of holographic displays

Author

Listed:
  • Daeho Yang

    (Samsung Electronics)

  • Wontaek Seo

    (Samsung Electronics)

  • Hyeonseung Yu

    (Samsung Electronics)

  • Sun Il Kim

    (Samsung Electronics)

  • Bongsu Shin

    (Samsung Electronics)

  • Chang-Kun Lee

    (Samsung Electronics)

  • Seokil Moon

    (Samsung Electronics)

  • Jungkwuen An

    (Samsung Electronics)

  • Jong-Young Hong

    (Samsung Electronics)

  • Geeyoung Sung

    (Samsung Electronics)

  • Hong-Seok Lee

    (Samsung Electronics
    Seoul National University)

Abstract

Holography is one of the most prominent approaches to realize true-to-life reconstructions of objects. However, owing to the limited resolution of spatial light modulators compared to static holograms, reconstructed objects exhibit various coherent properties, such as content-dependent defocus blur and interference-induced noise. The coherent properties severely distort depth perception, the core of holographic displays to realize 3D scenes beyond 2D displays. Here, we propose a hologram that imitates defocus blur of incoherent light by engineering diffracted pattern of coherent light with adopting multi-plane holography, thereby offering real world-like defocus blur and photorealistic reconstruction. The proposed hologram is synthesized by optimizing a wave field to reconstruct numerous varifocal images after propagating the corresponding focal distances where the varifocal images are rendered using a physically-based renderer. Moreover, to reduce the computational costs associated with rendering and optimizing, we also demonstrate a network-based synthetic method that requires only an RGB-D image.

Suggested Citation

  • Daeho Yang & Wontaek Seo & Hyeonseung Yu & Sun Il Kim & Bongsu Shin & Chang-Kun Lee & Seokil Moon & Jungkwuen An & Jong-Young Hong & Geeyoung Sung & Hong-Seok Lee, 2022. "Diffraction-engineered holography: Beyond the depth representation limit of holographic displays," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33728-5
    DOI: 10.1038/s41467-022-33728-5
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    References listed on IDEAS

    as
    1. Liang Shi & Beichen Li & Changil Kim & Petr Kellnhofer & Wojciech Matusik, 2021. "Towards real-time photorealistic 3D holography with deep neural networks," Nature, Nature, vol. 591(7849), pages 234-239, March.
    2. D. E. Smalley & E. Nygaard & K. Squire & J. Van Wagoner & J. Rasmussen & S. Gneiting & K. Qaderi & J. Goodsell & W. Rogers & M. Lindsey & K. Costner & A. Monk & M. Pearson & B. Haymore & J. Peatross, 2018. "A photophoretic-trap volumetric display," Nature, Nature, vol. 553(7689), pages 486-490, January.
    3. Liang Shi & Beichen Li & Changil Kim & Petr Kellnhofer & Wojciech Matusik, 2021. "Author Correction: Towards real-time photorealistic 3D holography with deep neural networks," Nature, Nature, vol. 593(7858), pages 13-13, May.
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    Cited by:

    1. Ethan Tseng & Grace Kuo & Seung-Hwan Baek & Nathan Matsuda & Andrew Maimone & Florian Schiffers & Praneeth Chakravarthula & Qiang Fu & Wolfgang Heidrich & Douglas Lanman & Felix Heide, 2024. "Neural étendue expander for ultra-wide-angle high-fidelity holographic display," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

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