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Increasing spatial resolution by using an image sequence
Saab Bofors Dynamics, S-581 88 Linkoping, Sweden.
Saab Bofors Dynamics, S-581 88 Linkoping, Sweden.
Rönnqvist, E., Saab Bofors Dynamics, S-581 88 Linkoping, Sweden.
2001 (English)In: Proceedings of SPIE, the International Society for Optical Engineering, ISSN 0277-786X, E-ISSN 1996-756X, Vol. 4380, 542-551 p.Conference paper, Published paper (Other academic)
Abstract [en]

In this paper we present two methods for increasing the spatial resolution of images using image sequences where all frames contain the same static scene with unknown shifts. Because of the subpixel shifts, aliased frequencies appear in a slightly different way in all images, making it possibly to reconstruct frequencies above the Nyqvist frequency, thus improving the resolution. To this end, we estimate parameters in the affine transform relating the images to each other from the sequence. To show the applicability of the algorithms, many experiments have been carried out mainly using image sequences captured by a TV-camera and not only using synthetic image sequences. The results from one TV-camera sequence are presented in this report. Measurements of PSF and MTF have been carried out and the results show that we can increase the spatial resolution by almost a factor of two. This technique can be used for target identification/recognition as well as for visualization. The second method (interpolation) is possible to implement in real time.

Place, publisher, year, edition, pages
2001. Vol. 4380, 542-551 p.
Keyword [en]
Image sequence, Inverse filtering, MTF, PSF, Resolution enhancement, Superresolution
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-47495DOI: 10.1117/12.436982OAI: oai:DiVA.org:liu-47495DiVA: diva2:268391
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-13

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  • apa
  • harvard1
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  • vancouver
  • oxford
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf