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Characterization by Hyperspectral Imaging and Hypercolor Gamut Estimation for Structural Color Prints

机译:通过高光谱成像和彩色色域估计对结构彩色印刷品进行表征

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A recently developed color printing system on glass plates, based on dot-by-dot laser irradiation generating the growth of metallic nanoparticles in a special coating, produces structural colors depending strongly on the illumination and observation configuration. The difficulty for an exhaustive color characterization of the printing technology comes not only from the goniochromaticity of the samples, but also from their very high specularity, to which classical measurement instruments are not adapted. Moreover, as the light-matter interaction relies on a number of optical phenomena (surface plasmon resonance, interferences, diffraction, effects of polarization of light) for which no predictive model is available today, their characterization requires measurement of many printed samples. In this paper, we present a characterization method based on multispectral imaging and on spectral prediction for halftone colors that permitted a first gamut estimation in three specific illumination/viewing configurations.
机译:最近在玻璃板上开发的彩色打印系统基于逐点激光照射,在特殊涂层中产生金属纳米颗粒的生长,产生的颜色取决于强烈的照明和观察配置。对打印技术进行详尽的颜色表征的困难不仅来自样品的角色性,还来自其非常高的镜面反射率,而传统测量仪器无法适应这种高镜面反射率。此外,由于光-物质相互作用依赖于当今尚无预测模型的许多光学现象(表面等离振子共振,干涉,衍射,光的偏振效应),其表征需要测量许多印刷样品。在本文中,我们提出了一种基于多光谱成像和基于半色调颜色光谱预测的表征方法,该方法允许在三种特定的照明/查看配置中进行第一色域估计。

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