TY - JOUR

T1 - A Vector Field Color Rendition Model for Characterizing Color Shifts and Metameric Mismatch

AU - David, Aurelien

AU - Esposito, Tony

AU - Houser, Kevin

AU - Royer, Michael

AU - Smet, Kevin A.G.

AU - Whitehead, Lorne

N1 - Funding Information:
The work of Michael Royer was supported by the U.S. Department of Energy?s Solid-State Lighting Program, part of the Office of Energy Efficiency and Renewable Energy. The work of Kevin Smet was partly supported by a Postdoctoral Fellowship of the Research Foundation Flanders (FWO) (12B4916N).

PY - 2020/4/2

Y1 - 2020/4/2

N2 - This article describes a way to distinguish between two distinct components of light source–induced color shifts, base color shift and metameric color shift, to provide a more complete understanding of color rendition. Working within the existing framework of IES TM-30-18 and CIE 224:2017, it shows that base color shift varies smoothly with location in color space in a pattern that is determined by the spectral power distribution (SPD) of the light source. Patterns of smooth variation can often be approximated well with a low-order polynomial function. Here, a vector field model is presented, based on a second-order polynomial function. The polynomial coefficients are adjusted, for a given light source, to provide a least squares fit to the calculated color shifts of a standard set of color samples. The adequacy of this model was verified by comparing it to another approach for characterizing base color shift that is based on discretization of color space and a much larger set of color samples. Once the vector field model of base color shifts for a given light source is determined, the metameric color shifts can be calculated from the residuals and the distribution of those shifts can be statistically summarized. Based on this information, a metameric uncertainty index (Rt) is proposed to provide new information about a light source. In particular, it can be used to estimate the likelihood of noticeable metameric mismatches induced by a given light source, which could lead to improved predictions of the perceived color quality of light.

AB - This article describes a way to distinguish between two distinct components of light source–induced color shifts, base color shift and metameric color shift, to provide a more complete understanding of color rendition. Working within the existing framework of IES TM-30-18 and CIE 224:2017, it shows that base color shift varies smoothly with location in color space in a pattern that is determined by the spectral power distribution (SPD) of the light source. Patterns of smooth variation can often be approximated well with a low-order polynomial function. Here, a vector field model is presented, based on a second-order polynomial function. The polynomial coefficients are adjusted, for a given light source, to provide a least squares fit to the calculated color shifts of a standard set of color samples. The adequacy of this model was verified by comparing it to another approach for characterizing base color shift that is based on discretization of color space and a much larger set of color samples. Once the vector field model of base color shifts for a given light source is determined, the metameric color shifts can be calculated from the residuals and the distribution of those shifts can be statistically summarized. Based on this information, a metameric uncertainty index (Rt) is proposed to provide new information about a light source. In particular, it can be used to estimate the likelihood of noticeable metameric mismatches induced by a given light source, which could lead to improved predictions of the perceived color quality of light.

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U2 - 10.1080/15502724.2018.1554369

DO - 10.1080/15502724.2018.1554369

M3 - Article

AN - SCOPUS:85060948156

VL - 16

SP - 99

EP - 114

JO - LEUKOS - Journal of Illuminating Engineering Society of North America

JF - LEUKOS - Journal of Illuminating Engineering Society of North America

SN - 1550-2724

IS - 2

ER -