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Continuous normalized convolution
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9091-4724
2002 (English)In: Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:1), IEEE , 2002, 725-728 p.Conference paper, Published paper (Refereed)
Abstract [en]

The problem of signal estimation for sparsely and irregularly sampled signals is dealt with using continuous normalized convolution. Image values on real-valued positions are estimated using integration of signals and certainties over a neighbourhood employing a local model of both the signal and the used discrete filters. The result of the approach is that an output sample close to signals with high certainty is interpolated using a small neighbourhood. An output sample close to signals with low certainty is spatially predicted from signals in a large neighbourhood.

Place, publisher, year, edition, pages
IEEE , 2002. 725-728 p.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-24521DOI: 10.1109/ICME.2002.1035884Local ID: 6653ISBN: 0-7803-7304-9 (print)OAI: oai:DiVA.org:liu-24521DiVA: diva2:244842
Conference
IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, 2002
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-08-28Bibliographically approved

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Andersson, KennethKnutsson, Hans

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  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • text
  • asciidoc
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