ABSTRACT This article examines how the color sample set, color space, and other calculation elements influence the quantification of gamut area. The IES TM-30-18 Gamut Index (Rg) serves as a baseline, with comparisons made to several other measures documented in scientific literature and 12 new measures formulated for this analysis using various components of existing measures. The results demonstrate that changes in the color sample set, color space, and calculation procedure can all lead to substantial differences in light source performance characterizations. It is impossible to determine the relative “accuracy” of any given measure outright, because gamut area is not directly correlated with any subjective quality of an illuminated environment. However, the utility of different approaches was considered based on the merits of individual components of the gamut area calculation and based on the ability of a measure to provide useful information within a complete system for evaluating color rendition. For gamut area measures, it is important to have a reasonably uniform distribution of color samples (or averaged coordinates) across hue angle—avoiding exclusive use of high-chroma samples—with sufficient quantity to ensure robustness but enough difference to avoid incidents of the hue-angle order of the samples varying between the test and reference conditions. It is also important to use a modern, uniform color space that is suitable for the quantification of color appearance and color difference.

中文翻译：

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色域面积比较

摘要 本文研究了颜色样本集、颜色空间和其他计算元素如何影响色域区域的量化。IES TM-30-18 色域指数 (Rg) 用作基线，与科学文献中记录的其他几种度量以及使用现有度量的各种组成部分为该分析制定的 12 种新度量进行比较。结果表明，颜色样本集、颜色空间和计算程序的变化都会导致光源性能特征的显着差异。不可能直接确定任何给定度量的相对“准确度”，因为色域区域与照明环境的任何主观质量没有直接关系。然而，不同方法的效用是根据色域面积计算的各个组成部分的优点和基于在评估色彩再现的完整系统内提供有用信息的度量的能力来考虑的。对于色域面积测量，重要的是在色相角上有一个合理均匀的颜色样本（或平均坐标）分布——避免单独使用高色度样本——有足够的数量来确保鲁棒性，但有足够的差异来避免色相事故-在测试和参考条件之间变化的样品的角度顺序。使用适合颜色外观和色差量化的现代、统一的颜色空间也很重要。