Opt Express. 2022 Nov 21;30(24):43872-43887. doi: 10.1364/OE.472808.
A new method was developed to evaluate the perceived gamut of a display. A multispectral image of a white gypsum sphere was projected onto various highly chromatic lights, producing a series of images with distinct hue perceptions at the gamut boundary of displays. These images were subsequently used in a psychophysical experiment to examine the perceived color gamut. Afterwards, the visual results were further compared with the prediction results from various uniform color spaces (UCSs) and color appearance models (CAMs). The present results demonstrate that CAM16-UCS provides the most accurate prediction across the entire color gamut, whereas the cyan-to-blue region is more poorly predicted than the other hue regions for all CAMs and UCSs investigated.
开发了一种新方法来评估显示的感知色域。将一个白色石膏球的多光谱图像投影到各种高色度光上，在显示器的色域边界处产生了一系列具有明显色调感知的图像。随后，这些图像被用于心理物理实验来检验感知色域。之后，将视觉结果与来自各种均匀颜色空间（UCS）和颜色外观模型（CAM）的预测结果进行了进一步比较。研究结果表明，CAM16-UCS 在整个色域内提供了最准确的预测，而对于所有研究的 CAM 和 UCS，青色到蓝色区域的预测比其他色调区域更差。
