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Effect of ink spreading and ink amount on the accuracy of the Yule-Nielsen modified spectral Neugebauer model

机译：油墨铺展和油墨量对Yule-Nielsen修正光谱Neugebauer模型精度的影响

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摘要

To control printers so that the mixture of inks results in specific color under defined visual environment requires a spectral reflectance model that estimates reflectance spectra from nominal dot coverage. The topic of this paper is to investigate the dependence of the Yule-Nielsen modified spectral Neugebauer (YNSN) model accuracy on ink amount. It is shown that the performance of the YNSN model strongly depends on the maximum ink amount applied. In a cellular implementation, this limitation mainly occurs for high coverage prints, which impacts on the optimal cell design. Effective coverages derived from both Murray-Davis (MD) and YNSN show large ink spreading. As ink-jet printing is a non-impact printing process, the ink volume deposited per unit area (pixel) is constant, leading to the hypothesis that isolated ink dots have lower thickness that the full-tone ink film. Measured spectral reflectance curves show similar trend, which supports the hypothesis. The reduced accuracy of YNSN can thus be explained with the fact that patches with lower effective coverage have a mean ink thickness very different from that of the full-tone patch. The effect will be stronger for small dot coverage and large dot gain and could partially explain why the Yule-Nielsen n-factor is different for different inks. The performance of the YNSN model could be improved with integration of ink thickness variation.
机译：为了控制打印机，以使油墨的混合物在定义的视觉环境下产生特定的颜色，需要光谱反射率模型，该模型可根据标称点覆盖率估算反射光谱。本文的主题是研究Yule-Nielsen改进的光谱Neugebauer（YNSN）模型精度对墨水量的依赖性。结果表明，YNSN模型的性能很大程度上取决于所施加的最大墨水量。在蜂窝实现中，此限制主要发生在高覆盖率的打印上，这会影响最佳的单元设计。来自Murray-Davis（MD）和YNSN的有效覆盖率显示出较大的油墨扩散。由于喷墨打印是一种非冲击式打印工艺，因此每单位面积（像素）沉积的墨水量是恒定的，这导致了这样的假设，即孤立的墨点的厚度比全色调墨膜的厚度低。测得的光谱反射率曲线显示出相似的趋势，这支持了这一假设。因此，可以用以下事实来解释YNSN精度降低的事实：有效覆盖率较低的色块的平均墨水厚度与全色调色块的平均墨水厚度非常不同。对于较小的点覆盖率和较大的点增益，效果会更强，并且可以部分解释为什么Yule-Nielsen n因子对于不同的墨水会有所不同。可以通过整合墨水厚度变化来提高YNSN模型的性能。

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