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Survey and Evaluation of Tone Mapping Operators for HDR-video
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Computer Graphics and Image Processing)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Computer Graphics and Image Processing)ORCID iD: 0000-0002-7765-1747
Bangor University, UK.
Bangor University, UK.
2013 (English)In: Siggraph 2013 Talks, ACM Press, 2013Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

This work presents a survey and a user evaluation of tone mapping operators (TMOs) for high dynamic range (HDR) video, i.e. TMOs that explicitly include a temporal model for processing of variations in the input HDR images in the time domain. The main motivations behind this work is that: robust tone mapping is one of the key aspects of HDR imaging [Reinhard et al. 2006]; recent developments in sensor and computing technologies have now made it possible to capture HDR-video, e.g. [Unger and Gustavson 2007; Tocci et al. 2011]; and, as shown by our survey, tone mapping for HDR video poses a set of completely new challenges compared to tone mapping for still HDR images. Furthermore, video tone mapping, though less studied, is highly important for a multitude of applications including gaming, cameras in mobile devices, adaptive display devices and movie post-processing. Our survey is meant to summarize the state-of-the-art in video tonemapping and, as exemplified in Figure 1 (right), analyze differences in their response to temporal variations. In contrast to other studies, we evaluate TMOs performance according to their actual intent, such as producing the image that best resembles the real world scene, that subjectively looks best to the viewer, or fulfills a certain artistic requirement. The unique strength of this work is that we use real high quality HDR video sequences, see Figure 1 (left), as opposed to synthetic images or footage generated from still HDR images.

Place, publisher, year, edition, pages
ACM Press, 2013.
Keyword [en]
High Dynamic Range Imaging, HDR-video, tone mapping
National Category
Engineering and Technology Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-92672DOI: 10.1145/2504459.2504473ISBN: 978-1-4503-2344-4 (print)OAI: oai:DiVA.org:liu-92672DiVA: diva2:621591
Conference
SIGGRAPH 2013 - 40th International Conference on Computer Graphics and Interactive Techniques, 21-25 July 2013, Anaheim Convention Center, California, USA
Projects
VPS
Funder
Swedish Foundation for Strategic Research
Available from: 2013-05-15 Created: 2013-05-15 Last updated: 2015-09-22Bibliographically approved

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Eilertsen, GabrielUnger, Jonas

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CiteExportLink to record
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Citation style
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