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首页> 外文会议>Color Imaging X: Processing, Hardcopy, and Applications >Improving the Yule-Nielsen modified spectral Neugebauer model by dot surface coverages depending on the ink superposition conditions
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Improving the Yule-Nielsen modified spectral Neugebauer model by dot surface coverages depending on the ink superposition conditions

机译：根据墨迹叠加条件，通过点表面覆盖率改进Yule-Nielsen修改的光谱Neugebauer模型

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Dot gain is different when dots are printed alone, printed in superposition with one ink or printed in superposition with two inks. In addition, the dot gain may also differ depending on which solid ink the considered halftone layer is superposed. In a previous research project, we developed a model for computing the effective surface coverage of a dot according to its superposition conditions. In the present contribution, we improve the Yule-Nielsen modified Neugebauer model by integrating into it our effective dot surface coverage computation model. Calibration of the reproduction curves mapping nominal to effective surface coverages in every superposition condition is carried out by fitting effective dot surfaces which minimize the sum of square differences between the measured reflection density spectra and reflection density spectra predicted according to the Yule-Nielsen modified Neugebauer model. In order to predict the reflection spectrum of a patch, its known nominal surface coverage values are converted into effective coverage values by weighting the contributions from different reproduction curves according to the weights of the contributing superposition conditions. We analyze the colorimetric prediction improvement brought by our extended dot surface coverage model for clustered-dot offset prints, thermal transfer prints and ink-jet prints. The color differences induced by the differences between measured reflection spectra and reflection spectra predicted according to the new dot surface estimation model are quantified on 729 different cyan, magenta, yellow patches covering the full color gamut. As a reference, these differences are also computed for the classical Yule-Nielsen modified spectral Neugebauer model incorporating a single halftone reproduction curve for each ink. Taking into account dot surface coverages according to different superposition conditions considerably improves the predictions of the Yule-Nielsen modified Neugebauer model. In the case of offset prints, the mean difference between predictions and measurements expressed in CIE-LAB CIE-94 ΔE_(94) values is reduced at 100 lpi from 1.54 to 0.90 (accuracy improvement factor: 1.7) and at 150 lpi it is reduced from 1.87 to 1.00 (accuracy improvement factor: 1.8). Similar improvements have been observed for a thermal transfer printer at 600 dpi, at lineatures of 50 and 75 lpi. In the case of an ink-jet printer at 600 dpi, the mean ΔE_(94) value is reduced at 75 lpi from 3.03 to 0.90 (accuracy improvement factor: 3.4) and at 100 lpi from 3.08 to 0.91 (accuracy improvement factor: 3.4).
机译：点单独打印，以一种墨水叠加打印或以两种墨水叠加打印时，点增益会有所不同。另外，根据所考虑的半色调层所​​叠加的固体墨水，点增益也可能不同。在先前的研究项目中，我们开发了一个根据点的叠加条件计算点的有效表面覆盖率的模型。在当前的贡献中，我们通过将有效的点表面覆盖率计算模型集成到Yule-Nielsen修改的Neugebauer模型中来进行改进。通过拟合有效的点表面来进行标称值映射到有效表面覆盖率的复制曲线的校准，该点可以使有效测量的反射密度谱与根据Yule-Nielsen修正Neugebauer模型预测的反射密度谱之间的平方差最小化，从而拟合出有效点表面。为了预测贴片的反射光谱，通过根据贡献叠加条件的权重加权来自不同再现曲线的贡献，将其已知的名义表面覆盖值转换为有效覆盖值。我们分析了扩展的点表面覆盖率模型为色点胶印，热转印和喷墨印刷带来的比色预测改进。根据测量的反射光谱与根据新的点表面估计模型预测的反射光谱之间的差异所导致的色差在覆盖整个色域的729种不同的青色，品红色，黄色色块上进行了量化。作为参考，这些差异也针对结合了每种墨水的单个半色调再现曲线的经典Yule-Nielsen修改光谱Neugebauer模型进行了计算。考虑到根据不同叠加条件的点表面覆盖率，可以极大地改善Yule-Nielsen修正的Neugebauer模型的预测。对于胶版印刷，CIE-LAB CIE-94ΔE_（94）值中表示的预测值与测量值之间的平均差在100 lpi时从1.54降低到0.90（精度提高系数：1.7），在150 lpi时降低了从1.87到1.00（准确度改善系数：1.8）。对于线密度分别为50和75 lpi的600 dpi热转印打印机，也观察到了类似的改进。在600 dpi喷墨打印机的情况下，平均ΔE_（94）值在75 lpi时从3.03降低到0.90（精度提高系数：3.4），在100 lpi时从3.08降低到0.91（精度提高系数：3.4）。 ）。

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