IEEE Trans Image Process. 2016 Jul;25(7):3023-3031. doi: 10.1109/TIP.2016.2560526.
Printing with a large number of inks, also called N -ink printing, is a challenging task. The challenges comprise spectral modeling of the printer, color separation, halftoning, and limitations of the amount of inks. Juxtaposed halftoning, a perfectly dot-off-dot halftoning method, has proved to be useful to address some of these challenges. However, for juxtaposed halftones, prediction of colors as a function of ink area coverages has not yet been fully investigated. The goal of this paper is to introduce a spectral prediction model for N -ink juxtaposed-halftone prints. As the area-coverage domain of juxtaposed inks forms a simplex, we propose a cellular subdivision of the area-coverage domain using the barycentric subdivision of simplexes. The barycentric subdivision provides algorithmically straightforward means to design and implement an N -ink color prediction model. Within the subdomain cells, the Yule-Nielsen spectral Neugebauer model is used for the spectral prediction. Our proposed model is highly accurate for prints with a large number of inks while requiring a relatively low number of calibration samples.
使用大量墨水进行打印，也称为 N-ink 打印，是一项具有挑战性的任务。这些挑战包括打印机的光谱建模、分色、半色调处理以及墨水数量的限制。并列半色调处理是一种完美的点到点半色调处理方法，已被证明对解决其中一些挑战很有用。然而，对于并列半色调，作为墨水面积覆盖率函数的颜色预测尚未得到充分研究。本文的目的是引入一种用于 N-ink 并列半色调打印的光谱预测模型。由于并列墨水的面积覆盖率域形成一个单形，我们建议使用单形的重心细分来对面积覆盖率域进行细胞细分。重心细分提供了一种算法上简单的方法来设计和实现 N-ink 颜色预测模型。在子域单元内，使用 Yule-Nielsen 光谱 Neugebauer 模型进行光谱预测。我们提出的模型对于具有大量墨水的打印非常准确，同时只需要相对较少的校准样本。
