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Multiobjective Optimization of Multiple Scale Visual Quality Processing
Responsible organisation
2008 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

In this paper, multiobjective optimization is applied to determine the optimal feature weights for a multi-resolution image quality metric. The optimization is conducted with respect to two aims; maximization of quality prediction accuracy and generalisation ability to unknown images. A thresholding of the optimal weights is applied to further reduce computational complexity of the quality metric. A detailed discussion of the tradeoff between prediction performance and complexity with respect to the threshold is provided. The metric design and evaluation is supported using mean opinion scores from subjective quality experiments that we conducted in two independent laboratories. Comparison to other state of the art quality metrics reveals the ability of the proposed metric to accurately predict subjective image quality perception.

Place, publisher, year, edition, pages
Cairns: IEEE , 2008.
Keyword [en]
Multiobjective optimization, multi-resolution image analysis, perceptual image quality
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-8561ISI: 000263468300039Local ID: oai:bth.se:forskinfoC96980A0E2AFAA84C125747B003D2AA4ISBN: 978-1-4244-2294-4 (print)OAI: oai:DiVA.org:bth-8561DiVA: diva2:836289
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MMSP
Available from: 2012-09-18 Created: 2008-07-03 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(410 kB)30 downloads
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File name FULLTEXT01.pdfFile size 410 kBChecksum SHA-512
5457e48c8f2a6dedb5b05a77a669539e04dc5276cfb1731894f17106b9e45c8eaebf7e82b1c9c67d2ab1cfff7e2d7bcb1e38812463dff209510fe10eae999860
Type fulltextMimetype application/pdf

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Zepernick, Hans-Jürgen
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CiteExportLink to record
Permanent link

Direct link
Cite
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