HDR Deghosting Using Motion-Registration-Free Fusion in the Luminance Gradient Domain

Cheng-Yeh Liou, Cheng-Yen Chuang, Chia-Han Huang, Yi-Chang Lu
{"title":"HDR Deghosting Using Motion-Registration-Free Fusion in the Luminance Gradient Domain","authors":"Cheng-Yeh Liou, Cheng-Yen Chuang, Chia-Han Huang, Yi-Chang Lu","doi":"10.1109/VCIP49819.2020.9301844","DOIUrl":null,"url":null,"abstract":"For most of the existing high dynamic range (HDR) deghosting flows, they require a time-consuming motion registration step to generate ghost-free HDR results. Since the motion registration step usually becomes the bottleneck of the entire flow, in this paper, we propose a novel H DR deghosting flow which does not require any motion registration process. By taking channel properties into account, the luminance and chrominance channels are fused differently in the proposed flow. Our motion-registration-free fusion could generate high-quality HDR results swiftly even if the original Low Dynamic Range (LDR) images contain objects with large foreground motions.","PeriodicalId":431880,"journal":{"name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","volume":"737 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP49819.2020.9301844","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

For most of the existing high dynamic range (HDR) deghosting flows, they require a time-consuming motion registration step to generate ghost-free HDR results. Since the motion registration step usually becomes the bottleneck of the entire flow, in this paper, we propose a novel H DR deghosting flow which does not require any motion registration process. By taking channel properties into account, the luminance and chrominance channels are fused differently in the proposed flow. Our motion-registration-free fusion could generate high-quality HDR results swiftly even if the original Low Dynamic Range (LDR) images contain objects with large foreground motions.
在亮度梯度域中使用无运动配准融合的HDR去重影
对于大多数现有的高动态范围(HDR)去鬼影流,它们需要一个耗时的运动配准步骤来生成无鬼影的HDR结果。由于运动配准步骤通常成为整个流的瓶颈,本文提出了一种新的不需要任何运动配准过程的hdr去重影流。通过考虑信道特性,在该流中对亮度和色度信道进行了不同的融合。即使原始的低动态范围(LDR)图像包含具有大前景运动的对象,我们的无运动配准融合也可以快速生成高质量的HDR结果。
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
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