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用于荧光增白剂增白和非荧光增白剂增白的白色度公式评估。

Evaluation of whiteness formulas for FWA and non-FWA whites.

作者信息

Wei Minchen, Ma Shining, Wang Yuzhao, Luo Ming Ronnier

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2017 Apr 1;34(4):640-647. doi: 10.1364/JOSAA.34.000640.

Abstract

Whiteness is an important colorimetric characteristic for surface colors. Currently, the CIE whiteness formula is widely used to characterize the whiteness of a surface in industry, whose limitations have been well documented. In this study, the whiteness appearance of 55 textile samples [43 non-fluorescent whitening agents (FWAs) and 12 FWA samples] were evaluated under six lighting conditions, comprising three levels of correlated color temperature (CCT) (i.e., 3000, 4000, and 6500 K) and two levels of UV radiation (i.e., zero and high), by 12 observers with normal color vision. The results indicated that the CIE whiteness formula with the CAT02 chromatic adaptation transform and the optimized CIE whiteness formula had the best performance in predicting the whiteness of surface colors, regardless of whether FWAs are contained, among the six formulas.

摘要

白度是表面颜色的一个重要色度特征。目前,CIE白度公式在工业中被广泛用于表征表面的白度,其局限性已有详细记载。在本研究中,12名具有正常色觉的观察者在六种照明条件下对55个纺织品样品(43个不含荧光增白剂的样品和12个含荧光增白剂的样品)的白度外观进行了评估,这六种照明条件包括三个相关色温(CCT)水平(即3000、4000和6500K)和两个紫外线辐射水平(即零和高)。结果表明,在六种公式中,采用CAT02色适应变换的CIE白度公式和优化后的CIE白度公式在预测表面颜色白度方面表现最佳,无论是否含有荧光增白剂。

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