Color appearance models were developed to characterize the color attributes of stimuli under different viewing conditions based on data collected through magnitude estimation or color matching experiments. Although human beings experience very high light levels under daylight and the reproduction of colors under daylight is important in the color and imaging industries, the existing color appearance models were developed based on the data that were collected under the conditions with luminance levels below 700 cd/m² due to the lack of facilities to produce stable illumination at high light levels. A recent study investigating color preference of an artwork under a wide range of light levels from 20 to 15 000 lx suggested that CIECAM02 cannot accurately characterize the color appearance under extremely high light levels. This study was designed to directly test the performance of CIECAM02 from 100 to 3500 cd/m². Human observers performed color match for four hues under a series pairs of adapting conditions with a haploscopic viewing condition. It was found that CIECAM02 had the best performance in characterizing the hue angles but the worse performance in characterizing the brightness with a maximum underprediction around 200% across a wide range of luminance. This was mainly due to the fact that CIECAM02 was developed based on the data collected under relatively low adapting luminance levels. The color appearance model that was proposed to use the adapting luminance levels in characterizing the cone compression in the postadaptation process was found to have a much better performance in characterizing the brightness.

中文翻译：

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从100到3500 cd / m2测试CIECAM02的性能

根据通过幅度估计或颜色匹配实验收集的数据，开发了颜色外观模型来表征不同观看条件下刺激的颜色属性。尽管人类在日光下会遇到非常高的光照水平，并且日光下的色彩还原在彩色和成像行业中很重要，但现有的颜色外观模型是根据在亮度水平低于700 cd / s的条件下收集的数据开发的²米由于缺乏在高光照水平下产生稳定照明的设施。最近一项研究艺术品在20到15000 lx的宽光水平下的颜色偏爱的研究表明，CIECAM02无法在极高的光水平下准确表征颜色外观。这项研究旨在直接测试CIECAM02在100到3500 cd / m ²的性能。。人类观察者在一系列具有单倍视角条件的适应条件下对四种色调进行颜色匹配。发现CIECAM02在表征色相角方面具有最佳性能，但在表征亮度方面性能较差，在宽范围的亮度范围内最大预测不足约为200％。这主要是由于基于在相对较低的适应亮度水平下收集的数据开发了CIECAM02的事实。发现在自适应后过程中使用自适应亮度级别来表征圆锥压缩的颜色外观模型在表征亮度方面具有更好的性能。