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Autocorrelation-Driven Diffusion Filtering
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-6096-3648
2011 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 20, no 7, 1797-1806 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we present a novel scheme for anisotropic diffusion driven by the image autocorrelation function. We show the equivalence of this scheme to a special case of iterated adaptive filtering. By determining the diffusion tensor field from an autocorrelation estimate, we obtain an evolution equation that is computed from a scalar product of diffusion tensor and the image Hessian. We propose further a set of filters to approximate the Hessian on a minimized spatial support. On standard benchmarks, the resulting method performs favorable in many cases, in particular at low noise levels. In a GPU implementation, video real-time performance is easily achieved.

Place, publisher, year, edition, pages
IEEE Press, 2011. Vol. 20, no 7, 1797-1806 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-65430DOI: 10.1109/TIP.2011.2107330ISI: 000291823600003OAI: oai:DiVA.org:liu-65430DiVA: diva2:395634
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ELLIITGARNICSDIPLECSNACIP
Available from: 2011-02-07 Created: 2011-02-07 Last updated: 2017-12-11

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Felsberg, Michael

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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
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