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Spectral Gamuts and Spectral Gamut Mapping

机译:光谱色域和光谱色域映射

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摘要

All imaging devices have two gamuts: the stimulus gamut and the response gamut. The response gamut of a print engine is typically described in CIE colorimetry units, a system derived to quantify human color response. More fundamental than colorimetric gamuts are spectral gamuts, based on radiance, reflectance or transmittance units. Spectral gamuts depend on the physics of light or on how materials interact with light and do not involve the human's photoreceptor integration or brain processing. Methods for visualizing a spectral gamut raise challenges as do considerations of how to utilize such a data-set for producing superior color reproductions. Recent work has described a transformation of spectra reduced to 6-dimensions called LabPQR. LabPQR was designed as a hybrid space with three explicit colorimetric axes and three additional spectral reconstruction axes. In this paper spectral gamuts are discussed making use of LabPQR. Also, spectral gamut mapping is considered in light of the colorimetric-spectral duality of the LabPQR space.
机译:所有成像设备都有两个色域:激励色域和响应色域。打印引擎的响应色域通常以CIE比色单位描述,CIE比色单位是一种用于量化人的颜色响应的系统。比色域更基本的是基于辐射,反射率或透射率单位的光谱域。光谱范围取决于光的物理学或材料与光的交互方式,并且不涉及人类的感光器整合或大脑处理。可视化光谱色域的方法提出了挑战,例如如何使用这样的数据集来产生出色的色彩再现的考虑。最近的工作描述了将光谱缩减为6维的变换,称为LabPQR。 LabPQR被设计为具有三个显式比色轴和三个附加光谱重建轴的混合空间。本文讨论了利用LabPQR的光谱色域。同样,根据LabPQR空间的比色光谱对偶性考虑光谱域映射。

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