NDLI: Existing and emerging image quality metrics

Content Provider	IEEE Xplore Digital Library
Author	Dosselmann, R. Xue Dong Yang
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Regina Univ., Sask. (Dosselmann, R.; Xue Dong Yang)
Abstract	This paper summarizes and evaluates some of the existing methods of measuring and quantifying the quality of a digital image. Unfortunately, no general method has been found. The performance of a quality metric is normally gauged by its prediction accuracy, monotonicity and consistency. It is also expected to mirror the quality scores assigned by independent human observers. Research to this point has generally focused on full-reference (FR) measures that assume that coded and original images are available. Often times, an original is not easily obtainable, or perhaps does not even exist. Therefore, researchers have recently shown a great deal of interest in developing reduced-reference (RR) and no-reference (NR) metrics. This study implements and compares some of the most common IQMs and seeks to determine if there is any difference in their performance. Analysis of the results focuses on determining if any IQM is superior to the others over a general set of test images
Starting Page	1906
Ending Page	1913
File Size	335392
Page Count	8
File Format	PDF
ISBN	0780388852
ISSN	08407789
DOI	10.1109/CCECE.2005.1557355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-01
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Humans Accuracy Testing Computer science Drives Digital images Mirrors Image analysis Compression algorithms
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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