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Image Enhancement over a Sequence of Images
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2008 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This Master Thesis has been conducted at the National Laboratory of Forensic Science (SKL) in Linköping. When images that are to be analyzed at SKL, presenting an interesting object, are of bad quality there may be a need to enhance them. If several images with the object are available, the total amount of information can be used in order to estimate one single enhanced image. A program to do this has been developed by studying methods for image registration and high resolution image estimation. Tests of important parts of the procedure have been conducted. The final results are satisfying and the key to a good high resolution image seems to be the precision of the image registration. Improvements of this part may lead to even better results. More suggestions for further improvementshave been proposed.

Abstract [sv]

Detta examensarbete har utförts på uppdrag av Statens Kriminaltekniska Laboratorium (SKL) i Linköping. Då bilder av ett intressant objekt som ska analyseras på SKL ibland är av dålig kvalitet finns det behov av att förbättra dessa. Om ett flertal bilder på objektet finns tillgängliga kan den totala informationen fråndessa användas för att skatta en enda förbättrad bild. Ett program för att göra detta har utvecklats genom studier av metoder för bildregistrering och skapande av högupplöst bild. Tester av viktiga delar i proceduren har genomförts. De slutgiltiga resultaten är goda och nyckeln till en bra högupplöst bild verkar ligga i precisionen för bildregistreringen. Genom att förbättra denna del kan troligtvis ännu bättre resultat fås. Även andra förslag till förbättringar har lagts fram.

Place, publisher, year, edition, pages
2008. , 85 p.
Keyword [en]
image enhancement, image analysis, super-resolution, forensic science
National Category
Signal Processing Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-12523ISRN: LiTH-ISY-EX--08/4013--SEOAI: oai:DiVA.org:liu-12523DiVA: diva2:390
Subject / course
Computer Vision Laboratory
Presentation
(English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2008-09-26 Created: 2008-09-11 Last updated: 2012-07-02Bibliographically approved

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Computer VisionThe Institute of Technology
Signal ProcessingEngineering and Technology

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CiteExportLink to record
Permanent link

Direct link
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
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  • text
  • asciidoc
  • rtf