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首页> 外文期刊>Journal of Imaging Science and Technology >Accounting for Inks Interaction in the Yule-Nielsen Spectral Neugebauer Model
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Accounting for Inks Interaction in the Yule-Nielsen Spectral Neugebauer Model

机译:在Yule-Nielsen光谱Neugebauer模型中考虑油墨相互作用

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Multispectral printer characterization requires an effective model to map the inputs to the printer (i.e., the digital counts of the inks) into reflectance spectra and vice versa. Most of the methods for printer modeling are based on the color mixing model of Neugebauer, but this model, in its original formulation, is a rather poor predictor of the printer''s output, since it fails to take into account many of the relevant phenomena that take place in the printing process. These phenomena, which include light scattering within the substrate, internal and surface reflection, and ink spreading, determine an enlargement of ink drops called dot gain, which differs on the basis of the substrate condition. This paper presents a novel strategy to model dot gain and interaction among inks in the definition of a printer model based on the Yule-Nielsen spectral Neugebauer equation. The method proposed has been designed for a four-ink ink jet printer, but its formulation is general and may be extended to the characterization of devices having more than four inks. Our method requires the definition of a relatively large number of parameters, that we estimate using genetic algorithms. The model has been tested on two different printers: An Epson Stylus-Color™ 740 ink jet printer and an Epson StylusPhoto™ 890 ink jet printer. Using a data set consisting of 777 samples, regularly distributed in the HSV color space, we have obtained an accuracy in terms of mean root mean squared error of 0.59% and of 1.54 ΔE_(ab)~* for the first printer and of 1.02% and of 2.04 ΔE_(ab)~* for the second printer. With respect to an approach based on a single dot gain function for each ink, our approach based on many dot gain functions reduced the average root mean square error on the test set of about 40% on average.
机译:多光谱打印机的表征需要一个有效的模型来将打印机的输入(即墨水的数字计数)映射到反射光谱中,反之亦然。打印机建模的大多数方法都是基于Neugebauer的颜色混合模型,但是此模型在其原始形式中不能很好地预测打印机的输出,因为它没有考虑许多相关的因素。在打印过程中发生的现象。这些现象包括基材内的光散射,内部和表面反射以及墨水扩散,这些现象决定了墨滴的扩大(称为点增益),该扩大因基材状况而异。本文提出了一种新的策略,用于在基于Yule-Nielsen光谱Neugebauer方程的打印机模型定义中对点增益和墨水之间的相互作用进行建模。所提出的方法已经设计用于四墨水喷墨打印机,但是其配方是通用的,并且可以扩展到具有四种以上墨水的设备的表征。我们的方法需要定义相对大量的参数,这些参数是我们使用遗传算法估算的。该模型已在两种不同的打印机上进行了测试:Epson Stylus-Color™740喷墨打印机和Epson StylusPhoto™890喷墨打印机。使用由777个样本组成的数据集,这些样本在HSV颜色空间中有规律地分布,对于第一台打印机,我们获得的均方根均方根误差为0.59%和1.54ΔE_(ab)〜*,为1.02%第二台打印机为2.04ΔE_(ab)〜*。对于每种墨水基于单个点增益函数的方法,我们基于许多点增益函数的方法将测试集的平均均方根误差平均降低了约40%。

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