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Updated: Oct 2, 2025

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
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Learned holographic light transport: invited.

Koray Kavaklı, Hakan Urey, Kaan Akşit

    Applied Optics
    |February 24, 2022
    PubMed
    Summary

    This study learns holographic light transport to bridge the gap between computer-generated holography simulations and physical displays. The new method significantly enhances simulation accuracy and image quality for holographic technologies.

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Machine Learning

    Background:

    • Computer-generated holography (CGH) algorithms often exhibit discrepancies with physical holographic display outputs.
    • Simulations typically do not account for the complex light transport phenomena inherent in real-world holographic systems.

    Purpose of the Study:

    • To develop a method that accurately models the light transport in holographic displays.
    • To improve the fidelity of computer-generated holograms by learning the physical characteristics of display devices.
    • To enhance the image quality and simulation accuracy for holographic display applications.

    Main Methods:

    • A dataset was generated by capturing image reconstructions from optimized holograms displayed on a physical device using a camera.

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  • A complex-valued convolution kernel was learned, inspired by ideal simulations.
  • This kernel effectively propagates generated holograms to match captured photographs.

    • Main Results:

    • The learned kernel significantly improves the accuracy of holographic simulations.
    • The method demonstrates a dramatic enhancement in the image quality of holographic displays.
    • The approach successfully bridges the simulation-to-reality gap for holographic light transport.

    Conclusions:

    • Physically informed machine learning approaches can effectively model complex optical phenomena.
    • The developed method offers a pathway to more realistic and accurate computer-generated holography.
    • This work advances the practical application and performance of holographic display technologies.