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Anisotropic Filtering Controlled by Image Content
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, Department of Electrical Engineering. Linköping University, Faculty of Science & Engineering. University of Aston, Birmingham B4 7PB, U.K..
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1981 (English)In: Proceedings of the 2nd Scandinavian Conference on Image Analysis: Finland, 1981, 146-151 p.Conference paper, Published paper (Refereed)
Abstract [en]

The related problems of enhancing and restoring noisy images have received a considerable amount of attention in recent years. Restoration methods have generally been based on minimum mean-squared error operations, such as Wiener filtering or recursive filtering. The rather vague title of enhancement has been given to a wide variety of more or less ad-hoc methods, such as median filtering, which have nonetheless been found useful. In mast cases, however, the aim is the same: an improvement of the subjective quality of the image.

Place, publisher, year, edition, pages
1981. 146-151 p.
Series
IEEE Acoustics, Speech, and Signal Processing Newsletter, ISSN 2168-3093 ; Vol. 50, issue 1
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21726DOI: 10.1109/MSP.1980.237607OAI: oai:DiVA.org:liu-21726DiVA: diva2:273846
Conference
2nd Scandinavian Conference on Image Analysis, June 15-17, 1981, Helsinki, Finland
Available from: 2009-10-25 Created: 2009-10-05 Last updated: 2016-03-11Bibliographically approved

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Knutsson, HansGranlund, Gösta H.

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
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Output format
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