Title

Image Quality Assessment Using The Ssim And The Just Noticeable Difference Paradigm

Keywords

Applied cognitive psychology; Designing for pleasure of use; Display design; Formal error prediction techniques; Human error; Human Factors / System Integration; Psychophysics for display design

Abstract

The structural similarity index (SSIM) has been shown to be a superior objective image quality metric. A web-based pilot experiment was conducted with the goal of quantifying, through the use of a sample of human participants, a trend in SSIM values showing when the human visual system can begin to perceive distortions applied to reference images. The just noticeable difference paradigm was used to determine the point at which at least 50% of participants were unable to discern between compressed and uncompressed grayscale images. For four images, this point was at an SSIM value of 96, while for two images it was at 92, for an average of 95. These results suggest that, despite the wide differences in the type of image used, the point at which a human observer cannot determine that compression has been used hovers around an SSIM value of 95. © 2013 Springer-Verlag Berlin Heidelberg.

Publication Date

1-1-2013

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

8019 LNAI

Issue

PART 1

Number of Pages

23-30

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-642-39360-0_3

Socpus ID

84880752374 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84880752374

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