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Proceedings Paper

Color preferences revealed by statistical color rendition metric
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Paper 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.

Paper Details

Date Published: 30 September 2013
PDF: 8 pages
Proc. SPIE 8835, LED-based Illumination Systems, 883508 (30 September 2013); doi: 10.1117/12.2026688
Show Author Affiliations
Anqing Liu, Rensselaer Polytechnic Institute (United States)
Arūnas Tuzikas, Vilnius Univ. (Lithuania)
Artūras Žukauskas, Vilnius Univ. (Lithuania)
Rimantas Vaicekauskas, Vilnius Univ. (Lithuania)
Pranciškus Vitta, Vilnius Univ. (Lithuania)
Michael Shur, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 8835:
LED-based Illumination Systems
Jianzhong Jiao, Editor(s)

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