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Classification of Paper Images to Predict Substrate Parameters Prior to Print

机译:纸图像分类以在打印之前预测基材参数

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An accurate characterization of the substrate is a prerequisite of color management in print. The use of standard ICC profiles in prepress leaves it to the printer to match the fixed substrate characteristics contained in these profiles. This triggers the interest in methods to predict, if a given ink, press and paper combination complies with a given characterization. We present an approach to compare physical and optical characteristics of papers in order to achieve such a prediction of compliance by classification methods. For economical and ecological reasons it is preferable to test paper without printing it. We therefore propose non-destructive methods.
机译:正确表征基材是打印中进行颜色管理的先决条件。在印前使用标准ICC配置文件将其留给打印机以匹配这些配置文件中包含的固定基材特性。这激发了人们对预测给定油墨,印刷机和纸张组合是否符合给定特征的方法的兴趣。我们提出一种比较纸张的物理和光学特性的方法,以便通过分类方法实现对依从性的预测。出于经济和生态方面的原因,最好在不打印纸张的情况下进行测试。因此,我们提出了非破坏性方法。

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