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A quaternion-based switching filter for colour image denoising
School of Electrical and Electronic Engineering, Hubei University of Technology, China.
School of Electrical and Electronic Engineering, Hubei University of Technology, China / Faculty of Technology, University of Vaasa, Vaasa, Finland.ORCID iD: 0000-0001-8006-3236
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, China.
2014 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 102, p. 216-225Article in journal (Refereed) Published
Abstract [en]

An improved quaternion switching filter for colour image denoising is presented. It proposes a RGB colour image as a pure quaternion form and measures differences between two colour pixels with the quaternion-based distance. Further, in noise-detection, a two-stage detection method is proposed to determine whether the current pixel is noise or not. The noisy pixels are replaced by the vector median filter (VMF) output and the noise-free ones are unchanged. Finally, we combine the advantages of quaternion-based switching filter and non-local means filter to remove mixture noise. By comparing the performance and computing time processing different images, the proposed method has superior performance which not only provides the best noise suppression results but also yields better image quality compared to other widely used filters.

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 102, p. 216-225
Keywords [en]
Quaternion, Switching filter, Non-local means, Colour image
National Category
Signal Processing Computer Vision and Robotics (Autonomous Systems) Medical Image Processing Other Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-133477DOI: 10.1016/j.sigpro.2014.03.027OAI: oai:DiVA.org:liu-133477DiVA, id: diva2:1060590
Available from: 2016-12-29 Created: 2016-12-29 Last updated: 2018-01-13Bibliographically approved

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  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf