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Advantages of Spectral Data for Subtractive Color Models

机译:减量颜色模型的光谱数据的优点

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The paper will discuss the spectral data of additive and subtractive color models, the need and use of spectral data for color optimization in the printing industry. The experimental data was conducted to demonstrate the effectiveness of spectral data in color models using the following data sets: cyan + magenta (from a proprietary data set), CMYK - textile, CMYK - digital, CMYK - flexo, and CMYK - offset. The results of the experimental data indicate that additional data such as spectral gradients and overprints causes the most accurate color models. Therefore, the use of spectral data should be required for color modeling.
机译:本文将讨论添加剂和减法颜色模型的光谱数据,印刷业中色彩优化的光谱数据的需求和使用。进行了实验数据以展示使用以下数据集的彩色模型中光谱数据的有效性:青色+洋红色(来自专有数据集),CMYK - 纺织,CMYK - 数字,CMYK - Flexo和CMYK - 偏移量。实验数据的结果表明诸如光谱梯度和叠印等附加数据导致最准确的颜色模型。因此,应需要使用光谱数据来进行颜色建模。

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