liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Unified Reconstruction of RAW HDR Video Data
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Computer Graphics and Image Processing)ORCID iD: 0000-0002-7765-1747
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Computer Graphics and Image Processing)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Computer Graphics and Image Processing)
2016 (English)In: High Dynamic Range Video: From Acquisition to Display and Applications / [ed] Frédéric Dufaux, Patrick Le Callet, Rafal K. Mantiuk, Marta Mrak, London, United Kingdom: Academic Press, 2016, 1st, 63-82 p.Chapter in book (Other academic)
Abstract [en]

Traditional HDR capture has mostly relied on merging images captured with different exposure times. While this works well for static scenes, dynamic scenes poses difficult challenges as registration of differently exposed images often leads to ghosting and other artifacts. This chapter reviews methods which capture HDR-video frames within a single exposure time, using either multiple synchronised sensors, or by multiplexing of the sensor response spatially across the sensor. Most previous HDR reconstruction methods perform demoisaicing, noise reduction, resampling (registration), and HDR-fusion in separate steps. This chapter presents a framework for unified HDR-reconstruction, including all steps in the traditional imaging pipeline in a single adaptive filtering operation, and describes an image formation model and a sensor noise model applicable to both single-, and multi-sensor systems. The benefits of using raw data directly are demonstrated with examples using input data from multiple synchronized sensors, and single images with varying per-pixel gain.

Place, publisher, year, edition, pages
London, United Kingdom: Academic Press, 2016, 1st. 63-82 p.
Keyword [en]
High dynamic range imaging, image reconstruction
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-127344ISBN: 978-0-08-1004128OAI: oai:DiVA.org:liu-127344DiVA: diva2:921904
Projects
VPS
Funder
Swedish Foundation for Strategic Research , IIS11-0081
Available from: 2016-04-21 Created: 2016-04-21 Last updated: 2016-05-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Book information from the publisherFind book in another country/Hitta boken i ett annat land

Search in DiVA

By author/editor
Unger, JonasHajisharif, SaghiKronander, Joel
By organisation
Media and Information TechnologyFaculty of Science & Engineering
Media and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 15 hits
ReferencesLink to record
Permanent link

Direct link