Wirtinger gradient based optimization for high-quality computer generated holography

Praneeth Chakravarthula, Yifan Peng, Joel Kollin, Henry Fuchs, Felix Heide

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Holography is perhaps the most promising technology to achieve wide field of view compact eye-glasses style near-eye displays. However, the digital hologram computation algorithms are still not perfect and resort to heuristic encoding or iterative methods relying on varying relaxations. In this paper, we deviate from such heuristic solutions to holographic phase retrieval but instead rely on formal optimization that is enabled by complex Wirtinger gradients. We pose the entire hologram computation forward model as a differentiable forward model and formulate a quadratic loss function that is solved via first-order optimization methods. Using this framework, we achieve holographic reconstructions with an order of magnitude improved image quality, both in simulation and on an experimental prototype.

Original languageEnglish (US)
Title of host publicationDigital Holography and Three-Dimensional Imaging, DH 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - Jun 22 2020
Event2020 Digital Holography and Three-Dimensional Imaging, DH 2020 - Part of Imaging and Applied Optics Congress - Washington, United States
Duration: Jun 22 2020Jun 26 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

Conference2020 Digital Holography and Three-Dimensional Imaging, DH 2020 - Part of Imaging and Applied Optics Congress
CountryUnited States
CityWashington
Period6/22/206/26/20

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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