喷墨打印系统多光谱特征化正向模型的建立

随着光谱技术的发展，打印系统的光谱特征化模型成为研究热点。基于光谱匹配的特征化模型通过直接预测设备基色的光谱反射比数据，可以有效的减少同色异谱现象的发生，为实现高保真印刷提供条件。主要基于Yule-Nielsen修正的Neugebauer光谱模型，开展了关于12色打印系统光谱特征化模型如何提高模型精度的研究。首先通过对颜色测量仪器及测量条件、喷墨打印机打印系统进行稳定性及精确度验证，为后续样本设计和测量提供可行性依据。然后，建立该研究设备适用的正向YNSN模型。依据CIELAB颜色空间中明度值L*均匀分布的原则，设计并输出了1 331个测试样本，抽取部分样本做训练样本，对所建立的光谱的特征化正向模型进行验证。结果表明，基于光谱的特征化模型预测精度较高，具有明显的优势。经验证，通过引入Yule-Nielsen修正参数n值，可进一步改善光谱预测精度。

Study of the Multi-Spectral Characterization Model for Inkjet Printing System and Its Application

With the development of spectroscopy, spectral characteristics of the model of the printing system become a research focus. Characterization model based on spectral matching by direct prediction device color spectral reflectance data can effectively reduce mesmerism phenomenon, provide the conditions for the realization of high-fidelity printing. This article is based on model Yule-Nielsen Spectral Neugebauer amended, carried out research on the accuracy of the model twelve-color printing system spectral characteristics of the model and how to improve. This topic first by color measurement instruments and measurement conditions, the ink jet printer system stability and accuracy of the study, the feasibility of providing the basis for subsequent sample design and measurement. Then, the establishment of this research forward YNSN equipment for model experiments, based on the principles CIELAB color space uniformly distributed brightness value, design, and outputs a 1 331 test sample, color and characteristics of the model based on the establishment of spectrum through, Meanwhile, the extraction section samples do training samples, the established forward model for verification. Final show, feature-based model to predict high precision spectroscopy, has obvious advantages, but also through the Introduction of post-Yule-Nielsen correction parameter value of n, proven, can be further improved spectral prediction accuracy.