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Computational Surface Models for Chromaticity Differences

机译:色度差异的计算表面模型

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In this study the purpose was to develop a computational surface model, which gives an equal computed chromaticity difference for equal perceived chromaticity difference in every part of the color space. The computational surface model assess chromaticity differences based on the surfaces defined by an ellipse data set and the two chromaticity points whose chromaticity difference is to be calculated. The distances along the surfaces are calculated by a method based on the Weighted Distance Transform On Curved Space (WDTOCS). The ellipse data sets are the MacAdam ellipses in the CIE 1931 (x,y)-chromaticity diagram and the ellipses which are fitted from the visual color difference measurements used in deriving the CIE DE2000 color difference formula in the CIELAB color space. In general the ellipse data set can be any set of planar chromaticity ellipses. The chromaticity differences calculated along the surfaces correct the planar chromaticity values, thus these differences match better with perceived chromaticity differences. The experiments are made in the vicinity of the chromaticity difference ellipses and the results are contrasted with CIE DE2000.
机译:在这项研究中,目的是开发一个计算表面模型,该模型为色彩空间的每个部分中相等的感知色度差提供相等的计算色度差。该计算表面模型基于由椭圆数据集定义的表面和要计算其色度差的两个色度点来评估色度差。沿曲面的距离是根据基于弯曲空间的加权距离变换(WDTOCS)的方法计算的。椭圆数据集是CIE 1931(x,y)色度图中的MacAdam椭圆,以及从在CIELAB颜色空间中导出CIE DE2000色差公式时使用的视觉色差测量结果拟合的椭圆。通常,椭圆数据集可以是平面色度椭圆的任何集合。沿表面计算的色度差异会校正平面色度值,因此这些差异与感知的色度差异会更好地匹配。在色度差椭圆附近进行实验,并将结果与​​CIE DE2000进行对比。

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