Evaluating Luminance Uniformity Metrics Using Online Experiments

IF 2.6 2区工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Leukos Pub Date : 2022-12-15 DOI:10.1080/15502724.2022.2133964

B. Abboushi, L. Irvin, E. Rodriguez-Feo Bermudez, Michael Royer

引用次数: 0

Abstract

ABSTRACT Luminance uniformity of luminaires is an important design aspect that can affect perceived discomfort glare, luminaire efficiency, and visual satisfaction. There is, however, a lack of studies that evaluated the performance of different luminance uniformity metrics. This article presents results of two studies where luminance patterns were presented via online questionnaires and subjective ratings of uniformity were collected. Study 1 examined the performance of a uniformity metric based on the human visual system (UHVS) using a priori hypotheses, whereas Study 2 compared UHVS to four other metrics: Max:Min, Avg:Min, entropy uniformity (EU), and coefficient of variation (CV) using correlations and non-linear models. Of the metrics evaluated, UHVS performed best for predicting perceived luminance uniformity. In situations where a tradeoff between metric calculation simplicity and performance is acceptable, the use of CV is recommended.

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利用在线实验评估亮度均匀性指标

灯具的亮度均匀性是一个重要的设计方面，它可以影响感知不适眩光、灯具效率和视觉满意度。然而，缺乏评估不同亮度均匀度指标性能的研究。本文介绍了两项研究的结果，其中亮度模式是通过在线问卷和主观评级的均匀性收集。研究1使用先验假设检验了基于人类视觉系统(UHVS)的均匀性度量的性能，而研究2使用相关性和非线性模型将UHVS与其他四个度量进行了比较:Max:Min, Avg:Min，熵均匀性(EU)和变异系数(CV)。在评估的指标中，UHVS在预测感知亮度均匀性方面表现最好。在度量计算简单性和性能之间可以接受折衷的情况下，建议使用CV。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Leukos 工程技术-光学

CiteScore

7.60

自引率

5.60%

发文量

审稿时长

>12 weeks

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