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Autocorrelation-Driven Diffusion Filtering
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-6096-3648
2011 (English)Data set
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
2011.
Version
1.0
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-142369OAI: oai:DiVA.org:liu-142369DiVA, id: diva2:1175862
Projects
ELLIITGARNICSDIPLECSNACIP
Note

Partt of: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 20, nr 7, pp. 1797-1806.

Available from: 2018-01-19 Created: 2018-01-19 Last updated: 2018-01-19Bibliographically approved

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programvara(1871 kB)0 downloads
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File name SOFTWARE01.zipFile size 1871 kBChecksum SHA-512
4a5afa25f69bae051d85dbf8999f8a36ec9385e1e82ce260819efae38c51faa43193a48c96153b6d196e70b6604d7f62c832ed129324935b28e67e6a10d8e17b
Type softwareMimetype application/zip

Authority records BETA

Felsberg, Michael

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Computer VisionThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)
Computer Vision and Robotics (Autonomous Systems)
Felsberg, M. (2011). Autocorrelation-Driven Diffusion Filtering. IEEE Transactions on Image Processing, 20(7), 1797-1806

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CiteExportLink to record
Permanent link

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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
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