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Sub-pixel registration of noisy images
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2006 (English)In: 2006 IEEE International Conference on Acoustics, Speech and Signal Processing: image and multidimensional signal processing, signal processing education, bioimaging and signal processing, NEW YORK, NY: IEEE , 2006, 273- p.Conference paper, Published paper (Refereed)
Abstract [en]

The accurate registration of images observed in additive noise is a challenging task. The noise increases the number of misregistered regions, and decreases the accuracy of subpixel registration. To address this problem, we propose an intensity-based algorithm that performs registration based only on regions that are least affccted by noise. We select these regions with a signal-to-noise ratio estimate that is obtained from an initial, less-accurate registration. Clur simulations demonstrate that the proposed noise-adaptive scheme significantly outperforms the conventional registration approach.

Place, publisher, year, edition, pages
NEW YORK, NY: IEEE , 2006. 273- p.
Series
International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-36126DOI: 10.1109/ICASSP.2006.1660332ISI: 000245559902027Scopus ID: 2-s2.0-33947647928OAI: oai:DiVA.org:kth-36126DiVA: diva2:430507
Conference
31st IEEE International Conference on Acoustics, Speech and Signal Processing Toulouse, FRANCE, MAY 14-19, 2006
Note
QC 20110711 QC 20111011Available from: 2011-07-11 Created: 2011-07-08 Last updated: 2011-10-11Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf