Methods for Assessing Quantity and Quality of Illumination.

IF 5 2区 医学 Q1 NEUROSCIENCES Annual Review of Vision Science Pub Date : 2019-09-15 Epub Date: 2019-06-21 DOI:10.1146/annurev-vision-091718-015018
Aurelien David, Kevin A G Smet, Lorne Whitehead
{"title":"Methods for Assessing Quantity and Quality of Illumination.","authors":"Aurelien David,&nbsp;Kevin A G Smet,&nbsp;Lorne Whitehead","doi":"10.1146/annurev-vision-091718-015018","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48658,"journal":{"name":"Annual Review of Vision Science","volume":"5 ","pages":"479-502"},"PeriodicalIF":5.0000,"publicationDate":"2019-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-vision-091718-015018","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Vision Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1146/annurev-vision-091718-015018","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/6/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 11

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
照明数量和质量的评定方法。
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Informing Endpoints for Clinical Trials of Geographic Atrophy Retinal Connectomics: A Review Impact of Glaucomatous Ganglion Cell Damage on Central Visual Function Digital Image Sensor Evolution and New Frontiers Cellular and Molecular Mechanisms Regulating Retinal Synapse Development
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1