Quality estimation for images and video with different spatial resolutions

A. Murat Demirtas; Hamid Jafarkhani; Amy R. Reibman

doi:10.1117/12.912034

17 February 2012 Quality estimation for images and video with different spatial resolutions

A. Murat Demirtas, Hamid Jafarkhani, Amy R. Reibman

Proceedings Volume 8291, Human Vision and Electronic Imaging XVII; 82910F (2012) https://doi.org/10.1117/12.912034
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

Citation Download Citation

A. Murat Demirtas, Hamid Jafarkhani, and Amy R. Reibman "Quality estimation for images and video with different spatial resolutions", Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82910F (17 February 2012); https://doi.org/10.1117/12.912034

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