liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
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
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, 2008, 1-8 p.Conference 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
2008. 1-8 p.
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: diva2:902721
Conference
Image Processing Theory, Tools and Applications, 2008. 23-26 Nov. 2008 Sousse
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2017-06-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Pham, Tuan D
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 263 hits
CiteExportLink to record
Permanent link

Direct link
Cite
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