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Optimization of Subtractive Color Dyes for Dye-Based Color InkJet Printer

机译:染料基彩色喷墨打印机减色染料的优化

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摘要

In general, subtractive color dyes used for current InkJet printers (IJs) are selected from among many potential dyes. However, such trial-and-error approaches are inefficient, and there remain questions as to how to guarantee a truly optimum dye set. Thus, development of a computer simulation system to choose the optimum subtractive color dyes is an important goal. In a previous study, the Cellular Neugebauer model (CNM) was shown to achieve sufficient prediction accuracy. However, prediction by CNM requires knowledge of the spectral reflectances of the secondary colors included in the Neugebauer primary set, and hence it is very difficult to use for evaluating the hypothetical subtractive color dyes. Alternative models are available that rely only on the spectral reflectances of the primary colors. These include the Kubelka-Munk equation (KM) and the Williams and Clapper equation (WC). The drawback of these models is that they are most appropriately applied to prediction of color in photographic color paper. Fortunately, coated paper for dye-based color Us has advanced to the point that there are now products available that are similar to that of a photographic color paper. The present study evaluates the prediction capability of KM and WC for high quality coated paper of dye-based color Us. Furthermore, a novel approach has been proposed by taking into account dot gain. The color gamuts of dye-based color Us have been calculated by means of a computer simulation. These have been compared with the color gamuts obtained by CNM. This study is an important step toward the development of simulations for use in improving image quality for dye-based IJ.
机译:通常,从许多潜在的染料中选择用于当前InkJet打印机(IJ)的减色染料。然而,这种反复试验的方法效率低下,并且仍然存在关于如何保证真正最佳染料组的问题。因此,开发计算机模拟系统以选择最佳减色染料是一个重要的目标。在先前的研究中,Cellular Neugebauer模型(CNM)被证明可以实现足够的预测精度。但是,通过CNM进行预测需要了解Neugebauer原色组中包含的第二色的光谱反射率,因此很难用于评估假设的减色染料。可用的替代模型仅依赖于原色的光谱反射率。这些包括Kubelka-Munk方程(KM)和Williams and Clapper方程(WC)。这些模型的缺点是它们最适合用于照相彩色纸的颜色预测。幸运的是,用于染料基彩色美国的铜版纸已经发展到现在可以提供与照相彩色纸相似的产品。本研究评估了KM和WC对染料基彩色Us的高质量涂布纸的预测能力。此外,已经提出了一种通过考虑点增益的新颖方法。基于染料的颜色Us的色域已经通过计算机模拟来计算。这些已与CNM获得的色域进行了比较。这项研究是开发用于改善基于染料的IJ图像质量的仿真的重要一步。

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