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Pareto Optimal Weighting of Structural Impairments for Wireless Imaging Quality Assessment
Responsible organisation
2008 (English)Conference paper, (Refereed) Published
Abstract [en]

In this paper, we consider multiobjective optimization for obtaining the feature weights associated with structural image impairments and its application to wireless imaging quality assessment. The proposed framework supports optimization with respect to finding a trade-off between metric prediction accuracy and generalization to unknown images. Evaluation of optimal trade-off solutions for two representative scenarios reveal the benefits of the proposed approach. In particular, quality prediction accuracy of an objective image metric can be strongly increased and negligible features are identified that can be discarded to save computational complexity.

Place, publisher, year, edition, pages
San Diego: IEEE , 2008.
Keyword [en]
Multiobjective optimization, objective image quality metrics, wireless image communication
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-8562ISI: 000262505000094Local ID: oai:bth.se:forskinfo32BC1B0C28115AFAC125747B003CCC1FISBN: 978-1-4244-1765-0 (print)OAI: oai:DiVA.org:bth-8562DiVA: diva2:836290
Conference
15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5
Available from: 2012-09-18 Created: 2008-07-03 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(247 kB)37 downloads
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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