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ON NONLOCAL IMAGE COMPLETION USING AN ENSEMBLE OF DICTIONARIES
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7765-1747
2016 (English)In: 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE , 2016, 2519-2523 p.Conference paper, (Refereed)
Abstract [en]

In this paper we consider the problem of nonlocal image completion from random measurements and using an ensemble of dictionaries. Utilizing recent advances in the field of compressed sensing, we derive conditions under which one can uniquely recover an incomplete image with overwhelming probability. The theoretical results are complemented by numerical simulations using various ensembles of analytical and training-based dictionaries.

Place, publisher, year, edition, pages
IEEE , 2016. 2519-2523 p.
Series
IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
Keyword [en]
compressed sensing; image completion; nonlocal; inverse problems; uniqueness conditions
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-134107DOI: 10.1109/ICIP.2016.7532813ISI: 000390782002114ISBN: 978-1-4673-9961-6 (print)OAI: oai:DiVA.org:liu-134107DiVA: diva2:1067518
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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Miandji, EhsanUnger, Jonas
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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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
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