A review of lcam datasets and sève whiteness proposal

Miniatura

Data

2022

Tytuł czasopisma

ISSN czasopisma

Tytuł tomu

Wydawca

Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press

Abstrakt

In our recent work, we investigated the validity of the newly proposed whiteness formula by Robert Sève [1] for our LCAM whiteness datasets under a LED light source of correlated color temperature (CCT) 5000K combined with Wood's UV-A lamp.We compared the CIE whiteness formula, the Ganz whiteness formula, and the Séve proposal to the results of visual assessment of forty white samples assessed by ten observers with normal color vision under experimental light source. Because the Sève proposal was derived from the CIE formula for whiteness considering whitespace, we were interested to see its impact on our datasets under test lighting different from D65.We have found that the Sève whiteness formula can predict maximum whiteness as a function of saturation for light conditions other than CIE D65, but visual observations of whiteness lead to an assessment of a significant drop in whiteness for materials with saturation between - 40 and -70 and luminance factor between 70 and 90. As expected, both the CIE whiteness formula and the Ganz formula correlated strongly with visual observations. In the case of the CIE equation, a high correlation coefficient of 0.84 was measured compared to the newly proposed W2,n equation where a value of 0.71 was found. In other words, with a very intense UV source, the intensity of which is above the UV fraction of the corresponding CIE illuminations D, the colouration of the samples containing FWA is highly saturated. This fact is not taken into account in the case of the CIE equation. Dr. Sève's new proposal addresses this problem, but sufficient new visual experiments need to be set up so that the parameters of this equation can be optimised.

Opis

Słowa kluczowe

CIE whiteness, Sève whiteness formula, Ganz formula, Correlated Color Temperature, biel CIE, formuła bieli Sève, formuła Ganza, skorelowana temperatura barwowa

Cytowanie

Mukthy A.A., Vik M., Viková M., A review of lcam datasets and sève whiteness proposal. W: AUTEX 2022 : 21st World Textile Conference AUTEX 2022 - AUTEX Conference Proceedings, Lodz University of Technology Press, Lodz 2022, s. 353-357, ISBN 978-83-66741-75-1, doi: 10.34658/9788366741751.73.

Kolekcje

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