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首页> 外文期刊>Journal of Imaging Science and Technology >Camera Characterization for Colorimetric Assessment of Goniochromatic Prints
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Camera Characterization for Colorimetric Assessment of Goniochromatic Prints

机译：相机表征，用于比色评估比色印刷

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摘要

In this article we discuss the possibility of using a conventional DSLR camera for color assessment of the prints enhanced with pearlescent pigments. Since these prints exhibit goniochromatic properties, color data were acquired in a multiangular manner and color estimation errors were assessed for the selected viewing angles. Colorimetric target-based camera characterization was performed by means of Artificial Neural Networks (ANN). In addition, ANN training was improved by implementing a multiobjective genetic algorithm with the aim to select the minimum number of different samples for the training set that will ensure efficient characterization. Our results indicate that the mean error of the performed characterization complies with the requirements placed on colorimeter in a print production. Furthermore, we show that the genetic algorithm optimization enabled an optimal training set selection for the given application, which makes the presented approach an efficient solution for multiangular color estimation. (C) 2017 Society for Imaging Science and Technology.
机译：在本文中，我们讨论了使用传统的数码单反相机对使用珠光颜料增强的印刷品进行色彩评估的可能性。由于这些印刷品表现出角色特性，因此以多角度方式获取颜色数据，并针对所选视角评估颜色估计误差。通过人工神经网络（ANN）对基于比色目标的相机进行表征。此外，通过实施多目标遗传算法改进了人工神经网络训练，目的是为训练集选择最少数量的不同样本，以确保有效表征。我们的结果表明，进行表征的平均误差符合印刷生产中对色度计的要求。此外，我们表明遗传算法的优化实现了给定应用程序的最佳训练集选择，这使所提出的方法成为多角度颜色估计的有效解决方案。 （C）2017年影像科学与技术学会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2017年第2期|020502.1-020502.15|共15页
  • 作者

    Tomic Ivan; Dedijer Sandra; Martinez-Canada Pablo; Novakovic Dragoljub; Hladnik Ales;

  • 作者单位

    Univ Novi Sad, Fac Tech Sci, Dept Graph Engn & Design, Trg Dositeja Obradov 6, Novi Sad 21000, Serbia;

    Univ Novi Sad, Fac Tech Sci, Dept Graph Engn & Design, Trg Dositeja Obradov 6, Novi Sad 21000, Serbia;

    Univ Granada, Dept Comp Architecture & Technol, CITIC UGR Calle Periodista Rafael Gomez Montero 2, E-18014 Granada, Spain;

    Univ Novi Sad, Fac Tech Sci, Dept Graph Engn & Design, Trg Dositeja Obradov 6, Novi Sad 21000, Serbia;

    Univ Ljubljana, Fac Nat Sci & Engn, Chair Informat & Graph Technol, Dept Text Graph Arts & Design, Snezniska Ul 5, SI-1000 Ljubljana, Slovenia;

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