{"title":"Poisson compositing","authors":"S. Raman, S. Chaudhuri","doi":"10.1145/1667146.1667185","DOIUrl":null,"url":null,"abstract":"Most of the real world scenes have a very high dynamic range. However the common capture and display devices can handle only a limited dynamic range. General approach to solve this problem is to use multi-exposure images and composite them in the irradiance domain to get a High Dynamic Range (HDR) image [Reinhard et al. 2005]. The generated image will be able to represent the real world scene faithfully. However, it needs to be tone-mapped to a Low Dynamic Range (LDR) image for visualization in common displays and printers. Generation of the high-quality LDR image of the scene directly from multi-exposure images even in the absence of any knowledge of camera response function and the exposure settings of the camera is of interest to graphics community. We propose a gradient domain compositing technique to solve the above problem and call it Poisson Compositing. We compare the proposed methodology with similar existing techniques and show that the proposed method is very fast and accurate.","PeriodicalId":180587,"journal":{"name":"ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1667146.1667185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Most of the real world scenes have a very high dynamic range. However the common capture and display devices can handle only a limited dynamic range. General approach to solve this problem is to use multi-exposure images and composite them in the irradiance domain to get a High Dynamic Range (HDR) image [Reinhard et al. 2005]. The generated image will be able to represent the real world scene faithfully. However, it needs to be tone-mapped to a Low Dynamic Range (LDR) image for visualization in common displays and printers. Generation of the high-quality LDR image of the scene directly from multi-exposure images even in the absence of any knowledge of camera response function and the exposure settings of the camera is of interest to graphics community. We propose a gradient domain compositing technique to solve the above problem and call it Poisson Compositing. We compare the proposed methodology with similar existing techniques and show that the proposed method is very fast and accurate.
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
泊松合成
大多数真实世界的场景都有非常高的动态范围。然而,普通的捕获和显示设备只能处理有限的动态范围。解决这一问题的一般方法是使用多曝光图像,并在辐照域进行合成,得到高动态范围(High Dynamic Range, HDR)图像[Reinhard et al. 2005]。生成的图像将能够忠实地代表现实世界的场景。但是,为了在普通显示器和打印机中显示,它需要色调映射到低动态范围(LDR)图像。在不了解相机响应函数和相机曝光设置的情况下,直接从多曝光图像中生成高质量的场景LDR图像是图形界感兴趣的问题。为了解决上述问题,我们提出了一种梯度域合成技术,称之为泊松合成。我们将所提出的方法与现有的类似技术进行了比较,结果表明,所提出的方法是非常快速和准确的。
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
An esthetics rule-based ranking system for amateur photos Qualitative evaluation of quantitative dance motion data A tone reproduction operator accounting for mesopic vision Real-time horizon-based reflection occlusion Poisson compositing
×
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