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Developing a custom colour target for artwork imaging

机译:为艺术品成像开发自定义颜色目标

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When characterising digital camera for capturing art paintings, the standard targets are often used, resulting in unacceptable differences in reproducing some special colours, so additional time must be spent for visual editing and colour adjusting in various software applications. To avoid the need for excessive colour editing, and to improve workflow efficiency and colour accuracy, the special colour reference target for digital camera characterisation was developed, applied and tested in these research. The object of digitalisation was paintings made with gouache paint, so two custom gouache reference targets with different numbers of colour samples (named CGRT24 and CGRT96) were created for digital camera colour characterisation. The main criteria for construction of targets were defined, as the optimal studio conditions for digital image capture of art paintings. By analysing the results gained with profiles testing, it was established that the errors in colour reproduction, which appear when using the standard targets (GretagMacbeth ColorChecker and ColorChecker DC) was decreased when using the developed CGRT targets for digital camera characterisation. Also, it was found out that the larger number of colour samples on target does not guarantee the more accurate camera profile. The results show that the colorimetric properties of colour samples are more important than the number of samples and proves that there is a benefit of developing the custom target tailored to the specific need.
机译:在表征用于捕获艺术画的数码相机时,经常使用标准目标,从而导致在复制某些特殊颜色时出现不可接受的差异,因此在各种软件应用程序中必须花费额外的时间进行视觉编辑和颜色调整。为了避免进行过多的色彩编辑,并提高工作流程效率和色彩准确性,在这些研究中开发,应用和测试了用于数字相机表征的特殊色彩参考目标。数字化的对象是用水粉颜料制成的绘画,因此创建了两个具有不同数量颜色样本的自定义水粉参考目标(分别称为CGRT24和CGRT96),用于数码相机的颜色表征。定义目标的主要标准是为艺术绘画的数字图像捕获提供最佳工作室条件。通过分析通过配置文件测试获得的结果,可以确定,当使用开发的CGRT目标进行数码相机表征时,使用标准目标(GretagMacbeth ColorChecker和ColorChecker DC)时出现的色彩还原错误减少了。另外,还发现目标上的大量颜色样本不能保证更准确的相机配置文件。结果表明,颜色样品的比色特性比样品数量更重要,并证明开发针对特定需求的定制目标有益。

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