Publication Details

Out-of-Focus Artifacts Mitigation and Autofocus Methods for 3D Displays

CHLUBNA, T.; MILET, T.; ZEMČÍK, P. Out-of-Focus Artifacts Mitigation and Autofocus Methods for 3D Displays. Visual Informatics, 2024, vol. 9, no. 1, p. 31-42. ISSN: 2468-502X.
Czech title
Potlačení artefaktů rozostření a automatické ostření pro 3D displeje
Type
journal article
Language
English
Authors
URL
Keywords

3D display, autofocus, stereoscopy, holography, image processing

Abstract

This paper proposes a novel content-aware method for automatic focusing of the
scene on a 3D display. The method addresses a common problem that visualized
content is often out of focus, which adversely affects perceived 3D content. The
method outperforms existing focusing method, having the error lower by almost
30\%. The existing and novel focusing is extended with depth-of-field enhancement
of the scene to mitigate out-of-focus artifacts. The relation between the total
depth range of the scene and the visual quality of the result is discussed and
evaluated according to human perception experiments. A space warping method for
synthetic scenes is proposed to reduce out-of-focus artifacts while maintaining
the scene appearance. An user study was conducted to evaluate the proposed
methods and identify the crucial parameters in the scene-focusing process on the
3D stereoscopic display by Looking Glass Factory. The study confirmed the
efficiency of the proposals and discovered that the depth-of-field artifact
mitigation might not be suitable for all scenes despite theoretical hypotheses.
The overall proposal of this paper is a set of methods that can be used to
produce the best user experience with arbitrary scene displayed on a 3D display.

Published
2024
Pages
31–42
Journal
Visual Informatics, vol. 9, no. 1, ISSN 2468-502X
DOI
UT WoS
001429975500001
EID Scopus
BibTeX
@article{BUT193744,
  author="Tomáš {Chlubna} and Tomáš {Milet} and Pavel {Zemčík}",
  title="Out-of-Focus Artifacts Mitigation and Autofocus Methods for 3D Displays",
  journal="Visual Informatics",
  year="2024",
  volume="9",
  number="1",
  pages="31--42",
  doi="10.1016/j.visinf.2024.12.001",
  issn="2468-502X",
  url="https://www.sciencedirect.com/science/article/pii/S2468502X2400069X"
}
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