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Grain Reduction in Scanned Image Sequences under Time Constraints
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2009 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis is about improving the image quality of image sequences scanned by the film scanner GoldenEye. Film grain is often seen as an artistic effect in film sequences but scanned images can be more grainy or noisy than the intention. To remove the grain and noise as well as sharpen the images a few known image enhancement methods have been implemented, tested and evaluated. An own idea of a thresholding method using the dyadic wavelet transform has also been tested. As benchmark has MATLAB been used but one method has also been implemented in C/C++. Some of the methods works satisfactory when it comes to the image result but none of the methods works satisfactory when it comes to time consumption. To solve that a few speed up ideas are suggested in the end of the thesis. A method to correct the color of the sequences has also been suggested.

Place, publisher, year, edition, pages
2009. , 51 p.
Keyword [en]
image enhancement, digitalization, film grain, scanner
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-17577ISRN: LiTH-ISY-EX--09/4203--SEOAI: oai:DiVA.org:liu-17577DiVA: diva2:210478
Subject / course
Computer Vision Laboratory
Presentation
Algoritmen, Linköping University, Valla, Linköping (Swedish)
Uppsok
Technology
Supervisors
Examiners
Available from: 2009-04-06 Created: 2009-04-01 Last updated: 2012-07-02Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
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
  • html
  • text
  • asciidoc
  • rtf