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A New Spatial Approach to Image Restoration
ADFA School of Information Technology and Electrical Engineering The University of New South Wales Canberra, Australia.ORCID iD: 0000-0002-4255-5130
ADFA School of Information Technology and Electrical Engineering The University of New South Wales Canberra, ACT 2600, Australia.
2008 (English)In: Image Processing Theory, Tools and Applications, 2008. IPTA 2008. First Workshops on, Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 1-8Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Study in restoring images from their degraded states has been an important research topic in image processing and has potential applications in complex pattern recognition. We propose in this paper a new adaptive image restoration method using the concept of random-function realizations in geostatistics. This conceptual framework allows us to derive the model means and variances in the context of spatial statistics. Experimental results demonstrate the superior performance of the proposed approach to other image restoration algorithms.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 1-8
Series
Image Processing Theory, Tools and Applications, ISSN 2154-5111, E-ISSN 2154-512X
Keyword [en]
Image restoration, Geostatistics, Gaussian noise.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-125040DOI: 10.1109/IPTA.2008.4743759Scopus ID: 2-s2.0-62949136043ISBN: 978-1-4244-3321-6 (print)OAI: oai:DiVA.org:liu-125040DiVA, id: diva2:902721
Conference
Image Processing Theory, Tools and Applications, Sousse, Tunisia, 23-26 Nov. 2008
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2018-01-26Bibliographically approved

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Pham, Tuan D

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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