Abstract
Various experimental datasets have been accumulated to evaluate colour quality metrics. However, most of the datasets did not cover the comprehensive set of lighting parameters. This results in that the metrics developed can only predict limited lighting conditions. This paper describes an experiment for assessing the colour quality of 48 sets of LED lighting conditions in terms of preference. The results were first used to test individual colour quality metrics (CQMs). Later, those better ones were combined to form the regression models to fit the experimental data. The results showed that the models to include colour fidelity metric, colour gamut metric, chroma-shift metric and correlated colour temperature (CCT in K) can predict visual results well.
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Shen, J., Luo, M.R. (2020). Testing of Colour Quality Models Using Colour Preference Assessment Results. In: Zhao, P., Ye, Z., Xu, M., Yang, L. (eds) Advanced Graphic Communication, Printing and Packaging Technology. Lecture Notes in Electrical Engineering, vol 600. Springer, Singapore. https://doi.org/10.1007/978-981-15-1864-5_4
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DOI: https://doi.org/10.1007/978-981-15-1864-5_4
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