Visibility enhancement via optimal gamma tone mapping for OST displays under ambient light

Kyu Ho Lee, Jae Woo Kim, Jong-Ok Kim

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

Abstract

Visibility of the overlaid virtual image is sensitively affected by surrounding illumination in OST (optical see-through) displays. Ambient light may especially deteriorate the visibility of low gray levels, whose luminance is comparable to ambient light. Therefore, we first derive a luminance model based on actual measurements under various ambient lights, and use this model to extract low gray-level region (LGR), which suffers severely from contrast loss. It was experimentally found that gamma tone mapping is the most appropriate for LGR contrast enhancement of OST displays. The gamma value is optimally determined by cost minimization. Visibility enhancement is verified by experiments on a practical setup with a variety of ambient light levels and images.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PublisherIEEE Computer Society
Pages470-474
Number of pages5
Volume2017-September
ISBN (Electronic)9781509021758
DOIs
Publication statusPublished - 2018 Feb 20
Event24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
Duration: 2017 Sep 172017 Sep 20

Other

Other24th IEEE International Conference on Image Processing, ICIP 2017
CountryChina
CityBeijing
Period17/9/1717/9/20

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Keywords

  • Ambient light
  • Gamma tone mapping
  • Low gray-level region
  • OST display
  • Visibility enhancement

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Lee, K. H., Kim, J. W., & Kim, J-O. (2018). Visibility enhancement via optimal gamma tone mapping for OST displays under ambient light. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (Vol. 2017-September, pp. 470-474). IEEE Computer Society. https://doi.org/10.1109/ICIP.2017.8296325