A Novel CAM for the Luminance Levels in the Same Chromaticity Viewing Conditions

  • Soo-Wook Jang
  • Eun-Su Kim
  • Sung-Hak Lee
  • Kyu-Ik Sohng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

In this paper, we propose the chromatic adaptation model (CAM) for the Variations of the Luminance Levels in the same Chromaticity Viewing Conditions. 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 uv ′ 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.

Keywords

Transfer Matrix Viewing Condition Luminance Level Test Color High Luminance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Soo-Wook Jang
    • 1
  • Eun-Su Kim
    • 1
  • Sung-Hak Lee
    • 1
  • Kyu-Ik Sohng
    • 1
  1. 1.School of Electronic Engineering and Computer ScienceKyungpook National UniversityDaeguKorea

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