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Image reconstruction by prioritized incremental normalized convolution
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2011 (English)In: Image analysis: 17th Scandinavian conference, SCIA 2011, Ystad, Sweden, May 2011 ; proceedings / [ed] Anders Heyden; Fredrik Kahl, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2011, 176-185 p.Conference paper, Published paper (Refereed)
Abstract [en]

A priority-based method for pixel reconstruction and incrementalhole filling in incomplete images and 3D surface data is presented.The method is primarily intended for reconstruction of occluded areasin 3D surfaces and makes use of a novel prioritizing scheme, based on apixelwise defined confidence measure, that determines the order in whichpixels are iteratively reconstructed. The actual reconstruction of individualpixels is performed by interpolation using normalized convolution.The presented approach has been applied to the problem of reconstructing3D surface data of a rock pile as well as randomly sampled imagedata. It is concluded that the method is not optimal in the latter case,but the results show an improvement to ordinary normalized convolutionwhen applied to the rock data and are in this case comparable to thoseobtained from normalized convolution using adaptive neighborhood sizes.

Place, publisher, year, edition, pages
Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2011. 176-185 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6688
Keyword [en]
image reconstruction, hole filling, normalized convolution, Information technology - Signal processing
Keyword [sv]
image reconstruction, hole filling, normalized convolution, Informationsteknik - Signalbehandling
National Category
Signal Processing Computer Sciences
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-38401DOI: 10.1007/978-3-642-21227-7_17Local ID: cca03651-b913-466b-ad88-77de38d703a4ISBN: 978-3-642-21226-0 (print)OAI: oai:DiVA.org:ltu-38401DiVA: diva2:1011901
Conference
Scandinavian Conference on Image Analysis : 23/05/2011 - 27/05/2011
Projects
Vision Systems Research Platform
Note
Validerad; 2011; Bibliografisk uppgift: The original publication is available at www.springerlink.com.; 20110613 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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Landström, AndersNellros, FridaJonsson, HåkanThurley, Matthew
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CiteExportLink to record
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Citation style
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Language
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