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Wiener channel smoothing: Robust Wiener filtering of images
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision.ORCID iD: 0000-0002-6096-3648
2005 (English)In: Pattern Recognition, 2005, Vol. 3663, 468-475 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we combine the well-established technique of Wiener filtering with an efficient method for robust smoothing: channel smoothing. The main parameters to choose in channel smoothing are the number of channels and the averaging filter. Whereas the number of channels has a natural lower bound given by the noise level and should for the sake of speed be as small as possible, the averaging filter is a less obvious choice. Based on the linear behavior of channel smoothing for inlier noise, we derive a Wiener filter applicable for averaging the channels of an image. We show in some experiments that our method compares favorable with established methods.

Place, publisher, year, edition, pages
2005. Vol. 3663, 468-475 p.
Series
Lecture Notes in Computer Science, 3663
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-48142OAI: oai:DiVA.org:liu-48142DiVA: diva2:269038
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2016-05-04

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Felsberg, Michael

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