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REAL-TIME NOISE-AWARE TONE-MAPPING AND ITS USE IN LUMINANCE RETARGETING
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. IRYSTEC, Canada.
University of Cambridge, England; IRYSTEC, Canada.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. IRYSTEC, Canada.ORCID iD: 0000-0002-7765-1747
2016 (English)In: 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE , 2016, 894-898 p.Conference paper (Refereed)
Abstract [en]

With the aid of tone-mapping operators, high dynamic range images can be mapped for reproduction on standard displays. However, for large restrictions in terms of display dynamic range and peak luminance, limitations of the human visual system have significant impact on the visual appearance. In this paper, we use components from the real-time noise-aware tone-mapping to complement an existing method for perceptual matching of image appearance under different luminance levels. The refined luminance retargeting method improves subjective quality on a display with large limitations in dynamic range, as suggested by our subjective evaluation.

Place, publisher, year, edition, pages
IEEE , 2016. 894-898 p.
Series
IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
Keyword [en]
High dynamic range (HDR) video; tone-mapping; retargeting; low luminance display
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-134105DOI: 10.1109/ICIP.2016.7532486ISI: 000390782000178ISBN: 978-1-4673-9961-6 (print)OAI: oai:DiVA.org:liu-134105DiVA: diva2:1067520
Conference
23rd IEEE International Conference on Image Processing (ICIP)
Available from: 2017-01-22 Created: 2017-01-22 Last updated: 2017-01-22

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf