Multi-resolution Structural Degradation Metrics for Perceptual Image Quality Assessment

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Ulrich Engelke, Hans-Jürgen Zepernick
Title: Multi-resolution Structural Degradation Metrics for Perceptual Image Quality Assessment
Conference name: Picture Coding Symposium
Year: 2007
ISBN: 978-989-8109-05-7
Publisher: EURASIP
City: Lisbon
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: uen@bth.se
Language: English
Abstract: 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.
Subject: Signal processing\Image and Video Processing
Telecommunications\General
Keywords: Multi-resolution analysis, feature extraction, image quality assessment, communication systems
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