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Using smooth metamers to estimate color appearance metrics for diverse color-normal observers
Color Research and Application ( IF 1.4 ) Pub Date : 2021-11-06 , DOI: 10.1002/col.22749
Kevin A G Smet 1 , Michael A Webster 2 , Lorne A Whitehead 3
Affiliation  

Color-normal subjects sometimes disagree about metameric matches involving highly structured spectral power distributions (SPDs), because their cone fundamentals differ slightly, but non-negligibly. This has significant implications for the design of light sources and displays, so it should be estimated. We propose a broadly applicable estimation method based on a simple adaptive “front-end” interface that can be used with any selected standard color appearance model. The interface accepts, as input, any set of color-matching functions for the individual subject (eg, these could be that person's cone response functions) and also the associated tristimulus values for the test stimulus and also for the reference stimulus (ie, reference white). The interface converts these data into tristimulus values of the form used by the selected color appearance model (which could, eg, be X, Y, Z), while also carrying out the needed transform, which is based on an estimate of the subject's likely previous long-term adaptations to their unique cone fundamentals. The selected standard color appearance model then provides color appearance data that are an estimate of the color appearance of the test stimulus, for that individual subject. This information has the advantage of being interpretable within that model's well-known color space. The adaptive front end is based on the fact that, for any selected input SPD and the subject's unique color matching functions, there can be many different SPDs that are metameric for that individual. Since observer-to-observer color perception differences are minimized for spectrally smooth SPDs, smooth metamers predict color appearances reasonably accurately.

中文翻译:

使用平滑同色异谱来估计不同颜色正常观察者的颜色外观指标

颜色正常的受试者有时不同意涉及高度结构化光谱功率分布 (SPD) 的同色异谱匹配,因为它们的视锥基本原理略有不同,但不可忽略。这对光源和显示器的设计具有重要意义,因此应该对其进行估算。我们提出了一种基于简单自适应“前端”界面的广泛适用的估计方法,该界面可与任何选定的标准颜色外观模型一起使用。该界面接受作为输入的单个对象的任何一组颜色匹配函数(例如,这些可能是那个人的视锥细胞反应函数)以及测试刺激和参考刺激的相关三刺激值(即,参考白色的)。该界面将这些数据转换为所选颜色外观模型所使用形式的三刺激值(例如,可以是 X、Y、Z),同时还执行所需的转换,该转换基于对受试者可能的颜色的估计以前长期适应其独特的圆锥基础。所选择的标准色貌模型然后提供色貌数据,该数据是对该个体受试者的测试刺激色貌的估计。此信息的优势在于可以在该模型众所周知的色彩空间内进行解释。自适应前端基于这样一个事实,即对于任何选定的输入 SPD 和对象的独特颜色匹配功能,可以有许多不同的 SPD,这些 SPD 对于该个体是同色异谱的。
更新日期:2021-11-06
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