计算机配色逐渐成为主流配色方式,用于保证包装印刷等产品在颜色复制过程中的一致性。光谱基础数据库是计算机配色的基本条件,其建立方法过于复杂,影响了计算机配色技术的推广和应用。根据Kubelka-Munk理论分析,建立光谱基础数据库的过程中样条质量浓度(简称浓度)、油墨浓度梯度和油墨梯度数量对配色结果有较大影响。为了优化光谱基础数据库、获得更加准确的配色结果,基于单因素实验法、正交实验法及相关评价方法,提出了一种在配色建库过程中最佳的浓度梯度、梯度数量及样条油墨的浓度范围的组合。实验通过建立的数据库对潘通色进行配色,对色差进行计算,并结合极差进行分析。实验结果显示优化的光谱基础配色数据库很大程度上减少了建库工作量,同时通过计算获得的目标配色结果的精度高,符合生产要求,说明该方法能有效选取最佳参数组合。

Computer color matching has gradually become the mainstream color matching method to ensure the consistency of packaging and printing products in the color reproduction process. The basic spectrum database is the basic condition of computer color matching, and its establishment method is too complicated, which affects the promotion and application of computer color matching technology. According to Kubelka-Munk theoretical analysis, the spline mass concentration (concentration for short), ink concentration gradient, and the number of ink gradients have a great influence on the color matching results in the process of establishing the basic spectrum database. In order to optimize the basic spectral database and obtain more accurate color matching results, based on the single factor experiment method, orthogonal experiment method, and related evaluation methods, an optimal combination of concentration gradient, gradient number, and concentration range of spline ink in the process of color matching database building is proposed. In the experiment,we use the established database to match Pantone colors, calculate the color difference, and analyze the results based on the concentration range. Experimental results show that the optimized spectrum color matching database greatly reduces the workload of database construction. At the same time, the accuracy of the target color matching results obtained by calculation is high, which meets the production requirements, indicating that the method can effectively select the best parameter combination.