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 language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 470-474 |
| Number of pages | 5 |
| Volume | 2017-September |
| ISBN (Electronic) | 9781509021758 |
| DOIs | |
| Publication status | Published - 2018 Feb 20 |
| Event | 24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: 2017 Sep 17 → 2017 Sep 20 |
Other
| Other | 24th IEEE International Conference on Image Processing, ICIP 2017 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 17/9/17 → 17/9/20 |
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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
Visibility enhancement via optimal gamma tone mapping for OST displays under ambient light. / Lee, Kyu Ho; Kim, Jae Woo; Kim, Jong-Ok.
2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. Vol. 2017-September IEEE Computer Society, 2018. p. 470-474.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Visibility enhancement via optimal gamma tone mapping for OST displays under ambient light
AU - Lee, Kyu Ho
AU - Kim, Jae Woo
AU - Kim, Jong-Ok
PY - 2018/2/20
Y1 - 2018/2/20
N2 - 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.
AB - 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.
KW - Ambient light
KW - Gamma tone mapping
KW - Low gray-level region
KW - OST display
KW - Visibility enhancement
UR - http://www.scopus.com/inward/record.url?scp=85045333346&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045333346&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8296325
DO - 10.1109/ICIP.2017.8296325
M3 - Conference contribution
AN - SCOPUS:85045333346
VL - 2017-September
SP - 470
EP - 474
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
ER -