Multiobjective Optimization of Multiple Scale Visual Quality Processing

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Ulrich Engelke, Hans-Jürgen Zepernick
Title: Multiobjective Optimization of Multiple Scale Visual Quality Processing
Conference name: MMSP
Year: 2008
ISBN: 978-1-4244-2294-4
Publisher: IEEE
City: Cairns
ISI number: 000263468300039
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/
Language: English
Abstract: 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.
Subject: Telecommunications\General
Signal processing\Image and Video Processing
Keywords: Multiobjective optimization, multi-resolution image analysis, perceptual image quality
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