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Multi-resolution Structural Degradation Metrics for Perceptual Image Quality Assessment
Responsible organisation
2007 (English)Conference paper, (Refereed) Published
Abstract [en]

In this paper, a multi-resolution analysis is proposed for image quality assessment. Structural features are extracted from each level of a pyramid decomposition that accurately represents the multiple scales of processing in the human visual system. To obtain an overall quality measure the individual level metrics are accumulated over the considered pyramid levels. Two different metric design approaches are introduced and evaluated. It turns out that one of them outperforms our previous work on single-resolution image quality assessment.

Place, publisher, year, edition, pages
Lisbon: EURASIP , 2007.
Keyword [en]
Multi-resolution analysis, feature extraction, image quality assessment, communication systems
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-8867Local ID: oai:bth.se:forskinfo1B572CE93F80C73EC12573A8005B309AISBN: 978-989-8109-05-7 (print)OAI: oai:DiVA.org:bth-8867DiVA: diva2:836624
Conference
Picture Coding Symposium
Available from: 2012-09-18 Created: 2007-12-05 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(568 kB)46 downloads
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File name FULLTEXT01.pdfFile size 568 kBChecksum SHA-512
bc984d9add35c6d6fd494ff6050480dd77df51bfe0cb80c4d87c3a36121bd60ae4dd1cf99a19f4988b03a5ced07ca3f7634f5f9026621e87cf1587ed6fc619b7
Type fulltextMimetype application/pdf

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Zepernick, Hans-Jürgen
TelecommunicationsSignal Processing

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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