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30 September 2013 Color preferences revealed by statistical color rendition metric
Anqing Liu, Arūnas Tuzikas, Artūras Žukauskas, Rimantas Vaicekauskas, Pranciškus Vitta, Michael Shur
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Proceedings Volume 8835, LED-based Illumination Systems; 883508 (2013) https://doi.org/10.1117/12.2026688
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States
Abstract
The color rendition engine based on the statistical metric allows us to uniquely quantify the characteristics of color quality of illumination and assess the color rendition preferences. We now report on using the color rendition engine for revealing individual and cultural differences in color quality preferences of 205 American and Chinese subjects. Our study demonstrated that the majority of individuals preferred the color blend with the same statistical figures of merit on the average but with a much larger spread of blends for Americans. For both groups, the color rendition preferences depended on the object being illuminated. This was demonstrated by illuminating a set of common colored objects and three different paintings. We conclude that the color quality of lighting can be optimized and enhanced using the feedback to change the spectral power distribution of the illuminating source depending on the object being illuminated and on the preferences of an individual observer and a cultural group.
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Anqing Liu, Arūnas Tuzikas, Artūras Žukauskas, Rimantas Vaicekauskas, Pranciškus Vitta, and Michael Shur "Color preferences revealed by statistical color rendition metric", Proc. SPIE 8835, LED-based Illumination Systems, 883508 (30 September 2013); https://doi.org/10.1117/12.2026688
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KEYWORDS
Light sources and illumination
RGB color model
Light sources
Light emitting diodes
Statistical analysis
Light
Solid state physics
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