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Fuzzy-similarity-based noise cancellation for real-time image processing
Örebro University, Department of Technology.
Örebro University, Department of Technology.
2001 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We introduce a new algorithm for image noise cancellation based on fuzzy similarity and homogeneity. The proposed method allows simple tuning of fuzzy filter properties and it is very convenient for high-speed real-time image processing. A detailed analysis of the filter properties is presented to support tuning its parameters for a particular application. Test examples and comparisons with other image noise cancellation techniques show the advantages of the method.

Place, publisher, year, edition, pages
2001. p. 15-18
Keywords [en]
fuzzy filter property tuning, fuzzy-similarity-based noise cancellation, high-speed real-time image processing, image noise cancellation, real-time image processing
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-4283DOI: 10.1109/FUZZ.2001.1007233ISBN: 0-7803-7293-X (print)OAI: oai:DiVA.org:oru-4283DiVA, id: diva2:138582
Conference
The 10th IEEE International Conference on Fuzzy Systems, 2001
Available from: 2007-12-14 Created: 2007-12-14 Last updated: 2018-01-13Bibliographically approved

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Tolt, GustavKalaykov, Ivan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • Other locale
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Output format
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