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Ink-dependent n -factors for the Yule-Nielsen modified spectral Neugebauer model

机译:Yule-Nielsen修正光谱Neugebauer模型的与墨水有关的n因子

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摘要

Different inks may have different mechanical and/or optical properties. Existing Yule-Nielsen modified Neugebauer spectral prediction models assume however that the inks forming a color halftone behave similarly, i.e. that a single n-factor can model the lateral propagation of light within the paper as well as non-uniformities of the ink dot thickness profiles. However, if the inks have very different optical or mechanical properties, each ink may be separately modeled with its specific n-factor. In order to predict the reflection spectrum of such color halftones, we extend the ink spreading enhanced Yule-Nielsen modified spectral Neugebauer (EYNSN) model by calculating for each halftone an optimal n-factor as an average of the ink specific n-factors weighted by a parabolic function of the ink surface coverages. We compare the prediction accuracies of the standard EYNSN model where each halftone is predicted by making use of one global n-factor with the predictions accuracies of the extended EYNSN model where each halftone is predicted with its corresponding optimal n-factor derived from the individual ink-specific n-factors. For inks having very different optical and/or mechanical properties, we observe an improvement of the prediction accuracies.
机译:不同的油墨可具有不同的机械和/或光学性质。现有的Yule-Nielsen修改的Neugebauer光谱预测模型假设形成彩色半色调的油墨的行为类似,即单个n因子可以模拟光在纸张内的横向传播以及墨点厚度分布的不均匀性。 。但是,如果油墨具有非常不同的光学或机械性能,则可以使用其特定的n因子分别对每种油墨进行建模。为了预测此类彩色半色调的反射光谱,我们通过为每个半色调计算最佳n因子,将其作为油墨特定n因子的平均值,来扩展墨水扩散增强型Yule-Nielsen改良光谱Neugebauer(EYNSN)模型。油墨表面覆盖率的抛物线函数。我们将标准EYNSN模型的预测精度(其中每个半色调通过使用一个全局n因子进行预测)与扩展的EYNSN模型的预测精度(其中每个半色调通过相应的从单个墨水中得出的最佳n因子进行预测)进行了比较特定的n因子。对于具有非常不同的光学和/或机械性能的油墨,我们观察到了预测精度的提高。

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