Color appearance models CAM16, ZCAM and CAM20u for video applications

N. Raheem, A. Taher, A. I. Alanssari, V. Pyliavskyi, B. S. Bashar, M.M. Ismail
{"title":"Color appearance models CAM16, ZCAM and CAM20u for video applications","authors":"N. Raheem, A. Taher, A. I. Alanssari, V. Pyliavskyi, B. S. Bashar, M.M. Ismail","doi":"10.15407/spqeo25.03.342","DOIUrl":null,"url":null,"abstract":"This work is devoted to the study of the possibility to use color perception models for processing streaming videos. The paper describes the principles of the control of image parameters which depend on the image adaptive properties. Methods for obtaining adaptive parameters such as brightness of adaptation, brightness of stimulus and brightness of background, as well as observation conditions are described. The CAM16 color perception model is accepted as the main one as well as the ZCAM and CAM20u models as the promising ones. The usability of color perception models is estimated, namely, the change of color rendering vector is assessed. It is shown that the chromaticity points that make up the color tone lines have a different nature of change – slope, shape. The estimates of the dependence of transmitted colors on lightness are provided. It is demonstrated that the lightness parameter is more non-linear character CAM20u as compared to the previous models.","PeriodicalId":21598,"journal":{"name":"Semiconductor physics, quantum electronics and optoelectronics","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Semiconductor physics, quantum electronics and optoelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15407/spqeo25.03.342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This work is devoted to the study of the possibility to use color perception models for processing streaming videos. The paper describes the principles of the control of image parameters which depend on the image adaptive properties. Methods for obtaining adaptive parameters such as brightness of adaptation, brightness of stimulus and brightness of background, as well as observation conditions are described. The CAM16 color perception model is accepted as the main one as well as the ZCAM and CAM20u models as the promising ones. The usability of color perception models is estimated, namely, the change of color rendering vector is assessed. It is shown that the chromaticity points that make up the color tone lines have a different nature of change – slope, shape. The estimates of the dependence of transmitted colors on lightness are provided. It is demonstrated that the lightness parameter is more non-linear character CAM20u as compared to the previous models.
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
彩色外观型号CAM16, ZCAM和CAM20u视频应用
这项工作致力于研究使用颜色感知模型处理流媒体视频的可能性。本文阐述了基于图像自适应特性的图像参数控制原理。描述了自适应参数的获取方法,如自适应亮度、刺激亮度和背景亮度,以及观测条件。CAM16色觉模型被认为是主要的,ZCAM和CAM20u模型被认为是有前途的。评估颜色感知模型的可用性,即评估颜色呈现向量的变化。结果表明,构成色调线的色度点具有不同的变化性质——斜率、形状。给出了透射颜色对亮度依赖性的估计。结果表明,CAM20u的亮度参数与以往型号相比更具非线性特征。
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
自引率
0.00%
发文量
0
期刊最新文献
Effect of annealing in air on the properties of carbon-rich amorphous silicon carbide films The conductivity effect of the top coating on optical properties of thin Cu(Ag)-layered structures Difference in the structure and morphology of CVD diamond films grown on negatively charged and grounded substrate holders: Optical study Science in 2025-2027 and the SPQEO journal Asymmetry of resonant forward/backward reflectivity of metal – multilayer-dielectric nanostructure
×
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