照明数量和质量的评定方法。

IF 5 2区 医学 Q1 NEUROSCIENCES
Aurelien David, Kevin A G Smet, Lorne Whitehead
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引用次数: 11

摘要

人类的视觉提供了关于我们周围物体的形状和颜色的有用信息。它在许多但不是所有的照明条件下都能很好地工作。自从人造光源出现以来,了解照明如何影响视觉质量一直很重要,但这一直非常困难。固态光源的广泛应用增加了这一问题的紧迫性。专家们仍在争论如何才能最好地实现高质量的视觉——这是一个关键问题,因为全球约五分之一的电力生产用于制造照明。光度测定法,即测量光的可视量,已经得到了很好的确立,但仍然存在很大的不确定性。色度法,测量颜色,已经取得了很好的再现性,但研究人员仍然努力理解如何照明才能最好地实现高质量的色觉。幸运的是,近年来取得了相当大的进展。在此,我们总结了目前的认识,并讨论了未来研究的重点领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for Assessing Quantity and Quality of Illumination.

Human vision provides useful information about the shape and color of the objects around us. It works well in many, but not all, lighting conditions. Since the advent of human-made light sources, it has been important to understand how illumination affects vision quality, but this has been surprisingly difficult. The widespread introduction of solid-state light emitters has increased the urgency of this problem. Experts still debate how lighting can best enable high-quality vision-a key issue since about one-fifth of global electrical power production is used to make light. Photometry, the measurement of the visual quantity of light, is well established, yet significant uncertainties remain. Colorimetry, the measurement of color, has achieved good reproducibility, but researchers still struggle to understand how illumination can best enable high-quality color vision. Fortunately, in recent years, considerable progress has been made. Here, we summarize the current understanding and discuss key areas for future study.

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来源期刊
Annual Review of Vision Science
Annual Review of Vision Science Medicine-Ophthalmology
CiteScore
11.10
自引率
1.70%
发文量
19
期刊介绍: The Annual Review of Vision Science reviews progress in the visual sciences, a cross-cutting set of disciplines which intersect psychology, neuroscience, computer science, cell biology and genetics, and clinical medicine. The journal covers a broad range of topics and techniques, including optics, retina, central visual processing, visual perception, eye movements, visual development, vision models, computer vision, and the mechanisms of visual disease, dysfunction, and sight restoration. The study of vision is central to progress in many areas of science, and this new journal will explore and expose the connections that link it to biology, behavior, computation, engineering, and medicine.
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