A Model of Luminance-Adaptation for Quantifying Brightness in Mixed Visual Adapting Conditions
Summary :
The color appearance model gives us the proper brightness information and optimized display conditions for various viewing surroundings. However on conditions of low-level illumination or low background reflectivity, the performance of brightness estimation is relatively poor. Therefore, through our psychophysical experiments, we investigated the state of visual luminance adaptation for comparing single adaptations and mixed adaptations under a complex viewing field, and we also investigated background adaptation degrees and exponential nonlinearity factors for mixed adaptation models. It provides more accurate brightness predictions according to different adapting luminance, which is decided from object and background luminance.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E94-C No.11 pp.1768-1772
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.E94.C.1768
- Type of Manuscript
- BRIEF PAPER
- Category
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Sung-Hak LEE, Kyu-Ik SOHNG, "A Model of Luminance-Adaptation for Quantifying Brightness in Mixed Visual Adapting Conditions" in IEICE TRANSACTIONS on Electronics,
vol. E94-C, no. 11, pp. 1768-1772, November 2011, doi: 10.1587/transele.E94.C.1768.
Abstract: The color appearance model gives us the proper brightness information and optimized display conditions for various viewing surroundings. However on conditions of low-level illumination or low background reflectivity, the performance of brightness estimation is relatively poor. Therefore, through our psychophysical experiments, we investigated the state of visual luminance adaptation for comparing single adaptations and mixed adaptations under a complex viewing field, and we also investigated background adaptation degrees and exponential nonlinearity factors for mixed adaptation models. It provides more accurate brightness predictions according to different adapting luminance, which is decided from object and background luminance.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E94.C.1768/_p
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@ARTICLE{e94-c_11_1768,
author={Sung-Hak LEE, Kyu-Ik SOHNG, },
journal={IEICE TRANSACTIONS on Electronics},
title={A Model of Luminance-Adaptation for Quantifying Brightness in Mixed Visual Adapting Conditions},
year={2011},
volume={E94-C},
number={11},
pages={1768-1772},
abstract={The color appearance model gives us the proper brightness information and optimized display conditions for various viewing surroundings. However on conditions of low-level illumination or low background reflectivity, the performance of brightness estimation is relatively poor. Therefore, through our psychophysical experiments, we investigated the state of visual luminance adaptation for comparing single adaptations and mixed adaptations under a complex viewing field, and we also investigated background adaptation degrees and exponential nonlinearity factors for mixed adaptation models. It provides more accurate brightness predictions according to different adapting luminance, which is decided from object and background luminance.},
keywords={},
doi={10.1587/transele.E94.C.1768},
ISSN={1745-1353},
month={November},}
Copy
TY - JOUR
TI - A Model of Luminance-Adaptation for Quantifying Brightness in Mixed Visual Adapting Conditions
T2 - IEICE TRANSACTIONS on Electronics
SP - 1768
EP - 1772
AU - Sung-Hak LEE
AU - Kyu-Ik SOHNG
PY - 2011
DO - 10.1587/transele.E94.C.1768
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E94-C
IS - 11
JA - IEICE TRANSACTIONS on Electronics
Y1 - November 2011
AB - The color appearance model gives us the proper brightness information and optimized display conditions for various viewing surroundings. However on conditions of low-level illumination or low background reflectivity, the performance of brightness estimation is relatively poor. Therefore, through our psychophysical experiments, we investigated the state of visual luminance adaptation for comparing single adaptations and mixed adaptations under a complex viewing field, and we also investigated background adaptation degrees and exponential nonlinearity factors for mixed adaptation models. It provides more accurate brightness predictions according to different adapting luminance, which is decided from object and background luminance.
ER -
English
