Framework for Optimal Region of Interest-based Quality Assessment in Wireless Imaging

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Full text:
Author(s): Ulrich Engelke, Hans-Jürgen Zepernick
Title: Framework for Optimal Region of Interest-based Quality Assessment in Wireless Imaging
Journal: SPIE Journal of Electronic Imaging
Year: 2010
Volume: 19
Issue: 1
ISSN: 1017-9909
Publisher: SPIE
URI/DOI: 10.1117/1.3267097
ISI number: 000276944100005
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Electrical Engineering (Sektionen för ingenjörsvetenskap - Avd. för elektroteknik)
School of Engineering S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/ing/
Authors e-mail: ulrich.engelke@bth.se, hans-jurgen.zepernick@bth.se
Language: English
Abstract: Images usually exhibit regions that particularly attract the viewer's attention. These regions are typically referred to as regions-of-interest (ROI) and the underlying phenomenon in the human visual system is known as visual attention (VA). In the context of image quality one may expect that distortions occuring in the ROI are perceived as being more annoying, as compared to distortions in the background. However, VA is only seldom taken into account in existing image quality metrics. In this paper, we thus provide a VA framework to extend existing image quality metrics with a simple VA model. The performance of the framework is evaluated on three contemporary image quality metrics. We further consider the context of wireless imaging where a broad range of artifacts can be observed. To facilitate the VA based metric design, we conducted subjective experiments to both obtain a ground truth for the subjective quality of a set of test images and to identify ROI in the corresponding reference images. A methodology is further discussed to optimize the VA metrics with respect to quality prediction accuracy and generalization ability. It is shown that the quality prediction performance of the three considered metrics can be significantly improved by deploying the proposed framework.
Subject: Telecommunications\General
Signal processing\Image and Video Processing
Keywords: Wireless imaging, Objective image quality metrics, region-of-interest, visual attention, subjective experiments, multi-objective optimization
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