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The HDR-video pipeline: From capture and image reconstruction to compression and tone mapping
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
(Visual Computing Laboratory at ISTI-CNR, Italy)
(Computer Laboratory, University of Cambridge, UK)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Computer Graphics and Image Processing)
2016 (English)Other (Refereed)
Resource type
Text
Abstract [en]

High dynamic range (HDR) video technology has gone through remarkable developments over the last few years;HDR-video cameras are being commercialized, new algorithms for color grading and tone mapping specifically designed for HDR-video have recently been proposed, and the first open source compression algorithms for HDR-video are becoming available. HDR-video represents a paradigm shift in imaging and computer graphics, which has and will continue to generate a range of both new research challenges and applications. This intermediate-level tutorial will give an in-depth overview of the full HDR-video pipeline present several examples of state-of-the-art algorithms and technology in HDR-video capture, tone mapping, compression and specific applications in computer graphics.

Place, publisher, year, pages
2016.
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-139785OAI: oai:DiVA.org:liu-139785DiVA: diva2:1133468
Conference
Eurographics 2016
Note

Presentation slides and more information can be found at the tutorial web page: http://vcg.isti.cnr.it/Publications/2016/UBEM16a

Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-08-22Bibliographically approved

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  • apa
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Language
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Output format
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  • asciidoc
  • rtf