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 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.
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Jang, SW., Kim, ES., Lee, SH., Sohng, KI. (2005). A Novel CAM for the Luminance Levels in the Same Chromaticity Viewing Conditions. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_79
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DOI: https://doi.org/10.1007/11590316_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30506-4
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