摘要
光源颜色品质量化是目前国际照明领域的研究热点,色域形状具有较强的光源显色可视化性能,可为照明质量评价提供新思路。通过构建包含994组光源光谱功率分布信息的大规模光源样本数据集,并结合现有的视觉实验结果分析,系统论证色域形状分析方法在表征光源颜色品质方面的合理性与不足。结果表明,色域形状分析方法在直观再现光源显色属性方面具有显著优势,但该方法在光源颜色品质评价适用性方面尚存不足,尤其是色域形状与显色指数CRI-Ra具有极强的相关性,在实际应用中可通过提升显色指数的方式避免极端色域形状产生的负面影响。
Characterization of color quality is a hot topic in current lighting research.Gamut shape analysis provides a new approach for the evaluation of lighting quality,since it has strong spectral information visibility and facilitates multi-dimensional quantification.In this study,a comprehensive analysis was conducted to analyze recent studies on gamut shape and a large dataset which contained 994 spectral power distributions was also established.Based on colorimetry theory and the built dataset,the rationality of gamut shape analysis method was discussed.The results showed that gamut shape had a strong advantage in characterizing color rendition of light sources.However,due to the inherent limitation of reference sources,that approach was insufficient for color quality evaluation.Strongly correlation between gamut shape and CRI-Ra were founded,which implied that the negative impact of gamut shape could be easily avoided by adopting light sources with high CRI-Ra values.
作者
张伟
ZHANG Wei(Vocational School of Technology,Weifang University of Science and Technology,Weifang 261000,China)
出处
《数字印刷》
北大核心
2020年第4期23-30,共8页
Digital Printing
关键词
光源颜色品质
色域形状
光谱功率分布
显色指数
Light source color quality
Gamut shape
Spectral power distribution
Color rendering index