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在不同光源下使用麦克亚当极限分析变色颜色的比色特性。

Analysis of the colorimetric properties of goniochromatic colors using the MacAdam limits under different light sources.

作者信息

Perales Esther, Chorro Elísabet, Cramer Werner R, Martínez-Verdú Francisco M

机构信息

Department of Optics, Pharmacology and Anatomy, University of Alicante, Alicante, Spain.

出版信息

Appl Opt. 2011 Sep 20;50(27):5271-8. doi: 10.1364/AO.50.005271.

DOI:10.1364/AO.50.005271
PMID:21947045
Abstract

Technological innovation in all areas has led to the appearance in recent years of new metallic and pearlescent materials, yet no exhaustive studies have been conducted to assess their colorimetric capabilities. The chromatic variability of these special-effect pigments may largely be due to the three-dimensional effect of their curved shapes and orientations when they are directionally or diffusely illuminated. Our study examines goniochromatic colors using the optimal colors (MacAdam limits) associated with normal colors (photometric scale of relative spectral reflectance from 0 to 1) under certain conventional illuminants and other light sources. From a database of 91 metallic and interference samples and using a multi-gonio-spectrophotometer, we analyzed samples with lightness values of more than 100 and others with lightness values of less than 100, but with higher chromaticities than optimal colors, which places them beyond the MacAdam limits. Our study thus demonstrates the existence of chromatic perceptions beyond the normal solid color associated with these materials and independent of the light source. The challenge for future research, therefore, is to replicate and render these color appearances in current and future color reproduction technologies for computer graphics.

摘要

近年来,各领域的技术创新催生了新型金属材料和珠光材料,但尚未有全面的研究来评估它们的比色能力。这些特效颜料的颜色变化很大程度上可能归因于其弯曲形状和取向在定向或漫射光照下产生的三维效果。我们的研究在某些传统光源和其他光源下,使用与正常颜色(相对光谱反射率从0到1的光度标度)相关的最佳颜色(麦克亚当极限)来研究变色现象。从一个包含91个金属和干涉样本的数据库中,我们使用多角度分光光度计分析了明度值大于100的样本以及明度值小于100但色度高于最佳颜色的样本,后者超出了麦克亚当极限。因此,我们的研究证明了这些材料存在超出正常纯色范围且与光源无关的颜色感知。因此,未来研究面临的挑战是在当前和未来的计算机图形颜色再现技术中复制并呈现这些颜色外观。

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