Kirchner Eric, Lans Ivo van der, Martínez-Verdú Francisco M, Perales Esther
J Opt Soc Am A Opt Image Sci Vis. 2017 Jan 1;34(1):101-110. doi: 10.1364/JOSAA.34.000101.
The default method for color representation on displays involves sRGB as device-independent encoding color space. For improving color reproduction accuracy, we develop a device-specific display characterization model for the Apple iPad Air 2. In separate articles, we will evaluate the same method for other devices and for other display technologies. This model is combined with an easy-to-implement new method to account for the influence of illuminance from ambient light. The combination is called the mobile display characterization and illumination model (MDCIM) for the iPad Air 2, representing modern liquid crystal displays. Seven observers performed psychophysical tests at ambient illuminance levels from 600 to 3000 lx. They visually compared colors of calculated images with those of physical samples. The MDCIM model achieves similar color reproduction accuracy as when using the default method involving sRGB encoding at 1000 lx, while considerably improving color accuracy at other illuminance levels. At 600 lx, 98% of the observers prefer images directly generated with the MDCIM model over those created using the default method. The average color reproduction accuracy improves by two categories on a five-point scale. At 3000 lx, the percentage of colors that is represented at least reasonably well, according to the subjective assessment of visual observers, increased from 0% to 60%.
显示器上颜色表示的默认方法涉及将sRGB作为与设备无关的编码颜色空间。为了提高颜色再现精度,我们为苹果iPad Air 2开发了一种特定于设备的显示器表征模型。在其他文章中,我们将评估该方法在其他设备和其他显示技术上的效果。该模型与一种易于实现的新方法相结合,以考虑环境光照度的影响。这种结合被称为适用于iPad Air 2的移动显示器表征和照明模型(MDCIM),代表了现代液晶显示器。七名观察者在600至3000勒克斯的环境照度水平下进行了心理物理学测试。他们将计算图像的颜色与物理样本的颜色进行了视觉比较。MDCIM模型在1000勒克斯时实现了与使用涉及sRGB编码的默认方法时相似的颜色再现精度,同时在其他照度水平上显著提高了颜色精度。在600勒克斯时,98%的观察者更喜欢直接用MDCIM模型生成的图像,而不是使用默认方法创建的图像。平均颜色再现精度在五点量表上提高了两个等级。在3000勒克斯时,根据视觉观察者的主观评估,至少能合理呈现的颜色百分比从0%增加到了60%。