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A New Spatial Approach to Image Restoration
ADFA School of Information Technology and Electrical Engineering The University of New South Wales Canberra, ACT 2600, 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 (Refereed)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.2008.4743759ISBN: 978-1-4244-3321-6OAI: 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: 2016-05-04

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Pham, Tuan D
Computer Vision and Robotics (Autonomous Systems)

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ReferencesLink to record
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