文章摘要
陈晨.不同配比值的专色油墨的光谱密度分布预测[J].包装工程,2019,40(17):243-248.
CHEN Chen.Prediction for Spectral Density Distribution of Spot Color Ink with Different Match Ratios[J].Packaging Engineering,2019,40(17):243-248.
不同配比值的专色油墨的光谱密度分布预测
Prediction for Spectral Density Distribution of Spot Color Ink with Different Match Ratios
投稿时间:2018-11-13  修订日期:2019-09-10
DOI:10.19554/j.cnki.1001-3563.2019.17.035
中文关键词: 专色  透明冲淡剂  配比值  光谱密度
英文关键词: spot color  transparent diluents  proportion  spectral density
基金项目:
作者单位
陈晨 深圳职业技术学院广东 深圳 518055 
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中文摘要:
      目的 提出一种预测专色油墨任意配比值的光谱密度分布曲线。方法 根据密度相加性原理,专色原色与冲淡后的专色原色的光谱密度分布曲线之间不会相互交错,而是随专色比例增大平行移动(所测量的光谱密度均为实地密度)。根据Lambert理论,分析了不同浓淡层次的光谱密度,计算光谱密度系数后,使用专色NZSR与透明冲淡剂制成专色配比值为0.1,0.2,0.3,0.4,0.5的专色色样,并测量最终结果。结果 测量结果显示,相同专色配比值的光谱密度曲线,其预测曲线与测量曲线之间的差别微小。结论 理论与实验证明,所提方法的预测精度较高。同时也提出了光谱密度与光谱反射率之间,相对测量与绝对测量光谱数据之间的转换方法。为了获得最佳的预测效果,还提出了最大配比值的概念和测量光谱密度分布的技术要求。
英文摘要:
      The work aims to propose a spectral density distribution curve to predict the random proportion of spot color ink. According to the principle of density additivity, the spectral density distribution curves of the primary color of spot color and the diluted primary color would not be intertwined, but move parallel to each other with the increase of spot color proportion (the measured spectral density was solid density). According to Lambert theory, the spectral densities of different concentration were analyzed. After the spectral density coefficient was calculated, the spot color samples with the proportions of 0.1, 0.2, 0.3, 0.4 and 0.5 were made with spot color NZSR and transparent diluents, and the final results were measured. The measured results showed that, the spectral density curve of the same spot color proportion had little difference between the predicted curve and the measured curve. Theoretical and experimental results show that, the proposed method has high prediction accuracy. At the same time, conversion methods between spectral density and spectral reflectance, relative measurement and absolute measurement of spectral data are proposed. To obtain the optimal prediction effect, the concept of maximum proportion and the technical requirements for measuring spectral density distribution are also proposed.
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