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Novel Approaches to the Spectral and Colorimetric Color Reproduction.

机译：光谱和比色颜色再现的新颖方法。

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摘要

All the different approaches taken for spectral data acquisition can be narrowed down to two main methods; the first one is using spectrophotometer, spectroradiometer, hyper- and multi- spectral camera through which the spectra can be most probably attained with a high level of accuracy in a direct manner. Nonetheless, the price at which the spectra are acquired is very high. However, there is also a second approached in which the spectra are estimated from the colorimetric information. The second approach, even though it is very cost efficient, is of limited level of accuracy, which could be due to the methods or the dissmiliarity of learning and testing samples used. In this work, through looking upon the spectral estimation in a different way, it is attempted to enhance the accuracy of the spectral estimation procedures which is fulfilled by associating the spectral recovery process with spectral sensitivity variability present in both different human observers and RGB cameras.;The work is split into two main sections, namely, theory and practice. In the first section, theory, the main idea of the thesis is examined through simulation, using different observers' color matching functions (CMFs) obtained from Asano's vision model and also different cameras' spectral sensitivities obtained from an open database. The second part of the work is concerned with putting the major idea of the thesis into use and is comprised of three subsections itself. In the first subsection, real cameras and cellphones are used. In the second subsection, using weighted regression, the idea presented in this work, is extended to a series of studies in which spectra are estimated from their corresponding CIEXYZ tristimulus values. In the last subsection, obserevers' colorimetric responses are simulated using color matching. Finally, it is shown that the methods presented in this work have a great potential to even rival multi-spectral cameras, whose equipment could be as expensive as a spectrophotometer.
机译：可以将频谱数据采集所采用的所有不同方法缩小为两种主要方法。第一种是使用分光光度计，分光辐射仪，高光谱和多光谱相机，通过它们可以直接直接以高准确度获得光谱。但是，获得光谱的价格非常高。但是，还存在第二种方法，其中根据比色信息估算光谱。第二种方法尽管具有很高的成本效益，但准确性水平有限，这可能是由于方法或所使用的学习和测试样本的差异所致。在这项工作中，通过以另一种方式查看光谱估计，试图​​提高光谱估计程序的准确性，这是通过将光谱恢复过程与在不同的人类观察者和RGB相机中均存在的光谱灵敏度可变性相关联来实现的。 ；该工作分为两个主要部分，即理论和实践。在第一部分中，理论上，通过仿真使用了不同的观察者从浅野的视觉模型获得的色彩匹配函数（CMF），以及从开放式数据库获得的不同相机的光谱灵敏度，通过仿真研究了论文的主要思想。工作的第二部分涉及将论文的主要思想付诸实践，并由三个小节组成。在第一小节中，使用了真实的相机和手机。在第二小节中，使用加权回归将这项工作中提出的想法扩展到一系列研究中，在这些研究中，根据其对应的CIEXYZ三刺激值估算光谱。在最后一个小节中，使用颜色匹配来模拟观察者的比色响应。最后，结果表明，这项工作中提出的方法甚至有可能与多光谱相机相匹敌，后者的设备可能与分光光度计一样昂贵。

著录项

  • 作者

    Maali Amiri, Morteza.;

  • 作者单位

    Rochester Institute of Technology.;

  • 授予单位 Rochester Institute of Technology.;
  • 学科 Science education.
  • 学位 M.S.
  • 年度 2017
  • 页码 84 p.
  • 总页数 84
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 公共建筑;
  • 关键词

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