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Proceedings Paper

Quality estimation for images and video with different spatial resolutions
Author(s): A. Murat Demirtas; Hamid Jafarkhani; Amy R. Reibman
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Paper Abstract

Full-reference (FR) quality estimators (QEs) for images and video are typically designed assuming that the displayed, degraded image has the same spatial resolution as the original, reference image. No-reference (NR) QEs use no knowledge about the reference image to assess quality of the displayed image. However, in many practical systems, a reference image may be available that has a different spatial resolution than the displayed image. In this paper, we explore objective quality estimation when the displayed image to be evaluated has a different spatial resolution than the reference image. We begin by identifying a range of potential weaknesses that might be present in a QE designed for this situation. Then, we create pairs of images with potential False Ties, in which a QE estimates that two images have equal quality while viewers disagree. Our subjective tests demonstrate that existing QEs do not accurately assess quality in a variety of scenarios for which images have different spatial resolutions.

Paper Details

Date Published: 17 February 2012
PDF: 11 pages
Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82910F (17 February 2012); doi: 10.1117/12.912034
Show Author Affiliations
A. Murat Demirtas, Univ. of California, Irvine (United States)
Hamid Jafarkhani, Univ. of California, Irvine (United States)
Amy R. Reibman, AT&T Labs. Research (United States)

Published in SPIE Proceedings Vol. 8291:
Human Vision and Electronic Imaging XVII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

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