首页> 外文会议>CIE Expert Symposium on Colour and Visual Appearance >CHARACTERIZING COLOURFULNESS AND GAMUT AREA OF WHITE-LIGHT SOURCES, IN ADDITION TO COLOUR FIDELITY
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CHARACTERIZING COLOURFULNESS AND GAMUT AREA OF WHITE-LIGHT SOURCES, IN ADDITION TO COLOUR FIDELITY

机译:表征白光源的粘性和曲面区域,除了颜色保真度之外

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摘要

This paper explores the impact of chromatic adaptation, colour space and test-colour samples on fidelity values and obtained colour differences. The CAT02 transform and CIELUV colour space do not result in remarkably different R_a values compared to current CIE13.3 computation process. Colour differences computed with CIELAB, CIEDE2000 and CAM02-UCS are highly correlated, but different from those computed with CIELUV. Uniform distribution of test-colour samples, under the reference illuminant, depends on the CCT of the light source. It has been demonstrated that highly saturated samples result in larger average colour differences, but smaller changes in relative gamut area index values. Combining samples with different saturation levels into one average fidelity or relative gamut area index value masks valuable information on actual hue-specific colour changes. The number of samples should be between 18 and 30 to cover the whole hue-angle circle without significant information loss compared to using 90 test-colour samples.
机译:本文探讨了色度适应,颜色空间和测试颜色样本对保真值的影响,并获得了色彩差异。与当前CIE13.3计算过程相比,CAT02变换和CIELUV颜色空间不会导致r_a值非常不同。使用CIELAB,CIEDE2000和CAM02-UC计算的颜色差异高度相关,但与用CIELUV计算的那些不同。在参考发光体下,测试颜色样本的均匀分布取决于光源的CCT。已经证明,高度饱和的样品导致较大的平均颜色差异,但相对域区域指标值的变化较小。将具有不同饱和级别的样本与一个平均保真度或相对域区域索引值掩盖有关实际色调的颜色变化的有价值的信息。与使用90个测试颜色样本相比,样品的数量应在18和30之间,以覆盖整个色调角圆,而无需显着信息丢失。

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