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Numerical reconstruction of spectral reflectance curves of oil painting on canvas

机译:布面油画光谱反射率曲线的数值重建

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Unlike the color -which is a quality without physical meaning and that involves subjective estimation of interaction of electromagnetic radiation with surfaces- spectral reflectance is a physical property that characterizes different materials, no matter what chromatic content of illuminant and the spectral response of the sensor. This means that the spectral reflectance is a magnitude of particular interes in both reconstruction and reproduction in digital color systems. In this paper, two approaches to the numerical reconstruction of spectral reflectance curves of samples of oil painting on canvas, are presented. These approaches need a set of spectral reflectance curves, given by a spectrophotometer, and their respective sampling using color filters placed in front of a monochrome CCD camera. The first approach is based on the interpolation of the camera response to each color filter. The second one, relies in obtain a vectorial base and appropiate coefficients to reconstruct the spectral reflectance curve. Goodness of fit coefficient (GFC) and absolute mean error (ABE) are the metrics used to evaluate the performance of the proposed procedures.
机译:与颜色不同,颜色是没有物理意义的,并且涉及到电磁辐射与表面相互作用的主观估计,而光谱反射率则是表征不同材料的物理属性,无论光源的色度含量和传感器的光谱响应如何。这意味着光谱反射率是数字彩色系统中重建和再现中特定间隔的大小。本文提出了两种在画布上绘制油画样品的光谱反射率曲线的数值方法。这些方法需要一组由分光光度计给出的光谱反射率曲线,以及使用放置在单色CCD相机前面的彩色滤光片对其进行相应采样的方法。第一种方法是基于相机对每个滤色镜响应的插值。第二,依靠获得矢量基数和适当的系数来重建光谱反射率曲线。拟合优度(GFC)和绝对平均误差(ABE)是用于评估建议程序性能的指标。

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