Development of Vividness, Blackness, Depth, and Whiteness Scales Under High Range of Luminance Levels

IF 1.2 3区 工程技术 Q4 CHEMISTRY, APPLIED
Molin Li, Yuechen Zhu, Ming Ronnier Luo
{"title":"Development of Vividness, Blackness, Depth, and Whiteness Scales Under High Range of Luminance Levels","authors":"Molin Li,&nbsp;Yuechen Zhu,&nbsp;Ming Ronnier Luo","doi":"10.1002/col.22966","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Two-dimensional (2D) color appearance scales, including attributes such as whiteness, blackness, vividness, and depth, are closely aligned with our daily experiences and are thus highly sought after. This article presents a psychophysical experiment utilizing the magnitude estimation method under four levels of luminance (10, 100, 1000, and 10 000 cd/m<sup>2</sup>). Observers evaluated both traditional one-dimensional scales (brightness, colorfulness, and hue) and 2D scales (whiteness, blackness, vividness, and depth). The collected data were utilized to evaluate existing color appearance models, including CIECAM16, CAM16-UCS, <i>V</i>\n <sup>\n <i>*</i>\n </sup>\n <sub>\n <i>ab</i>\n </sub>, and <i>D</i>\n <sup>\n <i>*</i>\n </sup>\n <sub>\n <i>ab</i>\n </sub>. Subsequently, new scales derived from the CAM16-UCS model were developed to more accurately reflect the experimental data. These scales were further validated against independent data sets. The findings indicated that the scales developed from this study outperformed existing models when applied to external data sets. Moreover, Berns's scales for vividness and depth demonstrated strong predictive accuracy. Finally, four simple and accurate 2D scales are proposed.</p>\n </div>","PeriodicalId":10459,"journal":{"name":"Color Research and Application","volume":"50 3","pages":"221-239"},"PeriodicalIF":1.2000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Color Research and Application","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/col.22966","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

Two-dimensional (2D) color appearance scales, including attributes such as whiteness, blackness, vividness, and depth, are closely aligned with our daily experiences and are thus highly sought after. This article presents a psychophysical experiment utilizing the magnitude estimation method under four levels of luminance (10, 100, 1000, and 10 000 cd/m2). Observers evaluated both traditional one-dimensional scales (brightness, colorfulness, and hue) and 2D scales (whiteness, blackness, vividness, and depth). The collected data were utilized to evaluate existing color appearance models, including CIECAM16, CAM16-UCS, V * ab , and D * ab . Subsequently, new scales derived from the CAM16-UCS model were developed to more accurately reflect the experimental data. These scales were further validated against independent data sets. The findings indicated that the scales developed from this study outperformed existing models when applied to external data sets. Moreover, Berns's scales for vividness and depth demonstrated strong predictive accuracy. Finally, four simple and accurate 2D scales are proposed.

在高亮度水平范围下鲜艳度、黑度、深度和白度尺度的发展
二维(2D)颜色外观尺度,包括白度、黑度、鲜亮度和深度等属性,与我们的日常体验密切相关,因此受到高度追捧。本文介绍了一种心理物理实验,利用四种亮度水平(10、100、1000和10 000 cd/m2)下的星等估计方法。观察者评估了传统的一维尺度(亮度、色彩和色调)和二维尺度(白度、黑度、生动度和深度)。利用收集到的数据评价现有的颜色外观模型,包括CIECAM16、CAM16-UCS、V * ab和D * ab。随后,开发了基于CAM16-UCS模型的新量表,以更准确地反映实验数据。这些量表在独立数据集上进一步验证。研究结果表明,当应用于外部数据集时,从本研究开发的量表优于现有模型。此外,Berns的生动度和深度量表显示出很强的预测准确性。最后,提出了四种简单准确的二维比例尺。
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 求助全文
来源期刊
Color Research and Application
Color Research and Application 工程技术-工程:化工
CiteScore
3.70
自引率
7.10%
发文量
62
审稿时长
>12 weeks
期刊介绍: Color Research and Application provides a forum for the publication of peer-reviewed research reviews, original research articles, and editorials of the highest quality on the science, technology, and application of color in multiple disciplines. Due to the highly interdisciplinary influence of color, the readership of the journal is similarly widespread and includes those in business, art, design, education, as well as various industries.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信