Multi-resolution Structural Degradation Metrics for Perceptual Image Quality Assessment
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing2007 (English)Conference paper (Refereed) Published
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.
Multi-resolution analysis, feature extraction, image quality assessment, communication systems
Telecommunications Signal Processing
IdentifiersURN: urn:nbn:se:bth-8867Local ID: oai:bth.se:forskinfo1B572CE93F80C73EC12573A8005B309AISBN: 978-989-8109-05-7OAI: oai:DiVA.org:bth-8867DiVA: diva2:836624
Picture Coding Symposium