Publication detail

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

CHLUBNA, T. MILET, T. ZEMČÍK, P.

Original Title

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

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

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

Authors

CHLUBNA, T.; MILET, T.; ZEMČÍK, P.

Released

20. 12. 2024

ISBN

2468-502X

Periodical

Visual Informatics

Year of study

9

Number

1

State

People's Republic of China

Pages from

31

Pages to

42

Pages count

11

URL

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"
}