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A uniform colour space based upon CIECAM97s

机译:基于CIECAM97的统一色彩空间

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摘要

A uniform colour space (UCS) would be very useful for image applications such as gamut mapping, image compression, and evaluation of colour management and colour reproduction systems. Current colour spaces, however, can only be applied under a fixed set of viewing conditions. It is essential to construct a uniform colour space, which can predict colour difference under a wide range of viewing conditions. This paper describes a new uniform colour space J'a'b' actually based upon one of the revised colour appearance models, CAM97s2 to fit the available small colour difference datasets including BFD-P, RIT-DuPont , Leeds and Witt . Our results show that J'a'b' fits the above experimental datasets better than the current CIELAB and DIN99 spaces.
机译:统一的色彩空间(UCS)对于图像应用(例如色域映射,图像压缩以及色彩管理和色彩再现系统的评估)将非常有用。但是,当前色彩空间只能在一组固定的查看条件下应用。必须构建一个均匀的色彩空间,该色彩空间可以在各种观看条件下预测色差。本文实际描述了一种新的统一色彩空间J'a'b',该色彩空间实际上是基于修订后的色彩外观模型CAM97s2来适应可用的较小色差数据集,包括BFD-P,RIT-DuPont,Leeds和Witt。我们的结果表明,J'a'b'比当前的CIELAB和DIN99空间更适合上述实验数据集。

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