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Chromatic adaptation model for the variations of the luminance

  • Eun Su Kim
  • , Sung Hak Lee
  • , Soo Wook Jang
  • , Seung Dc Lee
  • , Chan Ho Han
  • , Kyu Ik Sohng
  • Kyungpook National University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose the chromatic adaptation model, CAMΔY , for the variations of the luminance levels under the same illuminants. The proposed model is obtained by the transform the test colors of the high luminance into the corresponding colors of the low luminance. In the proposed model, the optimal coefficients are obtained from the corresponding colors data of the Breneman's experiments. In the experimental results, we confirmed that the chromaticity errors between the predicted colors by the proposed model and the corresponding colors of the Breneman's experiments are 0.004 in u'v' chromaticity coordinates. The prediction performance of the proposed model is excellent because this error is the threshold value that two adjacent color patches can be distinguished. Additionally, we also propose equal-whiteness CCT curves (EWCs) by CAMΔY according to the luminance levels of the surround viewing conditions. And the proposed EWCs can be used as the theoretical standard which determines the reference white of the color display devices.

Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Imaging Science, Systems, and Technology
Subtitle of host publicationComputer Graphics, CISST'05
Pages213-217
Number of pages5
StatePublished - 2005
Event2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05 - Las Vegas, NV, United States
Duration: 27 Jun 200530 Jun 2005

Publication series

NameProceedings of the 2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05

Conference

Conference2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05
Country/TerritoryUnited States
CityLas Vegas, NV
Period27/06/0530/06/05

Keywords

  • Chromatic adaptation model
  • Color reproduction
  • Corresponding colors
  • Human visual system

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