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颜色质量指标预测与光源视觉评价之间的相关性。

Correlation between color quality metric predictions and visual appreciation of light sources.

作者信息

Smet Kevin, Ryckaert Wouter R, Pointer Michael R, Deconinck Geert, Hanselaer Peter

机构信息

Light and Lighting Laboratory, Catholic University College Ghent, Belgium.

出版信息

Opt Express. 2011 Apr 25;19(9):8151-66. doi: 10.1364/OE.19.008151.

DOI:10.1364/OE.19.008151
PMID:21643065
Abstract

Over the past years there has been increasing evidence that the CIE color rendering index R(a) fails to correspond to the perceived color quality of many light sources, especially some Light-Emitting-Diodes. Several proposals to update, complement or even replace the CIE R(a) have therefore been made. The performance of thirteen color quality metrics was evaluated by calculating the average correlation of the metric predictions with the visual scaling of the perceived color quality obtained in several psychophysical studies. Two aspects of perceived color quality were investigated, appreciation (preference or attractiveness) and naturalness. The memory color quality metric (S(a)) of Smet et al. was found to correlate highly with perceived appreciation (r = 0.88). It was found to be statistically better (p<0.0001) at it than all other metrics. The CIE R(a) performed the worst. A metric that combines the gamut area index (GAI) and the CIE R(a) using an arithmetic mean correlated highly with the perceived naturalness of a light source (r = 0.85). It was found to be statistically better at predicting naturalness than all other metrics (p<0.0001). A negative correlation was found, between the capabilities of a light source's ability to predict appreciation and naturalness, indicating that a complete description of the color quality of a light source probably requires more than one metric.

摘要

在过去几年中,越来越多的证据表明,国际照明委员会(CIE)的显色指数R(a) 与许多光源(尤其是一些发光二极管)的感知颜色质量不相符。因此,人们提出了一些更新、补充甚至取代CIE R(a) 的建议。通过计算该指标预测与在多项心理物理学研究中获得的感知颜色质量视觉标度的平均相关性,对十三种颜色质量指标的性能进行了评估。研究了感知颜色质量的两个方面,即欣赏度(偏好或吸引力)和自然度。发现Smet等人的记忆颜色质量指标(S(a))与感知欣赏度高度相关(r = 0.88)。结果发现,在这方面它在统计学上比所有其他指标都更好(p<0.0001)。CIE R(a) 的表现最差。一种使用算术平均值将色域面积指数(GAI)和CIE R(a) 相结合的指标与光源的感知自然度高度相关(r = 0.85)。结果发现,在预测自然度方面,它在统计学上比所有其他指标都更好(p<0.0001)。研究发现,光源预测欣赏度和自然度的能力之间存在负相关,这表明对光源颜色质量的完整描述可能需要不止一个指标。

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