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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, 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 (Engelska)Ingår i: Image Processing Theory, Tools and Applications, 2008. IPTA 2008. First Workshops on, Institute of Electrical and Electronics Engineers (IEEE), 2008, s. 1-8Konferensbidrag, Publicerat paper (Refereegranskat)
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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.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2008. s. 1-8
Serie
Image Processing Theory, Tools and Applications, ISSN 2154-5111, E-ISSN 2154-512X
Nyckelord [en]
Image restoration, Geostatistics, Gaussian noise.
Nationell ämneskategori
Datorseende och robotik (autonoma system)
Identifikatorer
URN: urn:nbn:se:liu:diva-125040DOI: 10.1109/IPTA.2008.4743759Scopus ID: 2-s2.0-62949136043ISBN: 978-1-4244-3321-6 (tryckt)OAI: oai:DiVA.org:liu-125040DiVA, id: diva2:902721
Konferens
Image Processing Theory, Tools and Applications, Sousse, Tunisia, 23-26 Nov. 2008
Tillgänglig från: 2016-02-12 Skapad: 2016-02-12 Senast uppdaterad: 2018-01-26Bibliografiskt granskad

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Pham, Tuan D

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