使用偏振和深度学习的单色图像的镜面去除

D. Miyazaki, Naoto Yoshimoto
{"title":"使用偏振和深度学习的单色图像的镜面去除","authors":"D. Miyazaki, Naoto Yoshimoto","doi":"10.1109/NicoInt55861.2022.00026","DOIUrl":null,"url":null,"abstract":"We have proposed a method to remove specular reflection from a single polarization image. Most existing methods use color information for specular removal, however, those methods can neither be applied to monochrome images nor achromatic objects. To overcome this problem, we use polarization for specular removal. Most methods not only use polarization camera but also use polarized light, while we use polarization camera and unpolarized light. In addition to polarization, we also use a deep neural network to stably remove specular reflection in a grayscale image.","PeriodicalId":328114,"journal":{"name":"2022 Nicograph International (NicoInt)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Specular removal of monochrome image using polarization and deep learning\",\"authors\":\"D. Miyazaki, Naoto Yoshimoto\",\"doi\":\"10.1109/NicoInt55861.2022.00026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have proposed a method to remove specular reflection from a single polarization image. Most existing methods use color information for specular removal, however, those methods can neither be applied to monochrome images nor achromatic objects. To overcome this problem, we use polarization for specular removal. Most methods not only use polarization camera but also use polarized light, while we use polarization camera and unpolarized light. In addition to polarization, we also use a deep neural network to stably remove specular reflection in a grayscale image.\",\"PeriodicalId\":328114,\"journal\":{\"name\":\"2022 Nicograph International (NicoInt)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Nicograph International (NicoInt)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NicoInt55861.2022.00026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Nicograph International (NicoInt)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NicoInt55861.2022.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们提出了一种从单幅偏振图像中去除镜面反射的方法。现有的方法大多使用颜色信息进行镜面去除,但这些方法既不能用于单色图像,也不能用于消色差物体。为了克服这个问题,我们使用偏振来去除镜面。大多数方法不仅使用偏振光,而且还使用偏振光,而我们使用偏振光和非偏振光。除了偏振,我们还使用深度神经网络来稳定地去除灰度图像中的镜面反射。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Specular removal of monochrome image using polarization and deep learning
We have proposed a method to remove specular reflection from a single polarization image. Most existing methods use color information for specular removal, however, those methods can neither be applied to monochrome images nor achromatic objects. To overcome this problem, we use polarization for specular removal. Most methods not only use polarization camera but also use polarized light, while we use polarization camera and unpolarized light. In addition to polarization, we also use a deep neural network to stably remove specular reflection in a grayscale image.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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