Computational Coherent Imaging For Accommodation-Invariant Near-Eye Displays

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Abstract

We present a computational accommodation-invariant near-eye display, which relies on imaging with coherent light and utilizes static optics together with convolutional neural network-based preprocessing. The network and the display optics are co-optimized to obtain a depth-invariant display point spread function, and thus relieve the conflict between accommodation and ocular vergence cues that typically exists in conventional near-eye displays. We demonstrate through simulations that the computational near-eye display designed based on the proposed approach can deliver sharp images within a depth range of 3 diopters for an effective aperture (eyepiece) size of 10 mm. Thus, it provides a competitive alternative to the existing accommodation-invariant displays.
Original languageEnglish
Title of host publication2021 IEEE International Conference on Image Processing
PublisherIEEE
Pages3433-3437
Number of pages5
ISBN (Electronic)978-1-6654-4115-5
DOIs
Publication statusPublished - 23 Aug 2021
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Image Processing - , United States
Duration: 19 Sept 202122 Sept 2021

Publication series

NameProceedings : International Conference on Image Processing
ISSN (Electronic)2381-8549

Conference

ConferenceIEEE International Conference on Image Processing
Country/TerritoryUnited States
Period19/09/2122/09/21

Keywords

  • optics
  • neural networks
  • coherent imaging
  • computational near-eye displays

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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