Regional Attention to Structural Degradations for Perceptual Image Quality Metric Design

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Ulrich Engelke, Xuan Nguyen Vuong, Hans-Jürgen Zepernick
Title: Regional Attention to Structural Degradations for Perceptual Image Quality Metric Design
Conference name: ICASSP
Year: 2008
Pagination: 869-872
ISBN: 1-4244-1484-9
Publisher: IEEE
City: Las Vegas
ISI number: 000257456700218
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, regional attention to structural degradations in
images is analyzed to improve perceptual quality prediction
performance of objective image quality metrics. Subjective
experiments were conducted to identify regions-of-interest for a set
of natural images. A region-selective metric design is then applied
to four objective image quality metrics which were trained and
validated with respect to quality prediction accuracy and
generalization to unknown images. For this purpose, data is used
from subjective quality experiments conducted at two independent
laboratories. It is shown that the region-selective design is highly
beneficial for the considered objective image quality metrics, in
particular, prediction accuracy can be significantly increased.
Subject: Telecommunications\General
Keywords: Objective image quality metrics, region-of-interest, subjective experiments, feature extraction
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