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Journal of Electronic Imaging

Vision models for image quality assessment: one is not enough
Author(s): Roland Brémond; Jean-Philippe Tarel; Eric Dumont; Nicolas Hautiere
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Paper Abstract

A number of image quality metrics are based on psychophysical models of the human visual system. We propose a new framework for image quality assessment, gathering three indexes describing the image quality in terms of visual performance, visual appearance, and visual attention. These indexes are built on three vision models grounded on psychophysical data: we use models from Mantiuk et al. (visual performance), Moroney et al. (visual appearance), and Itti, Koch, and Niebur (visual attention). For accuracy reasons, the sensor and display system characteristics are taken into account in the evaluation process, so that these indexes characterize the image acquisition, processing, and display pipeline. We give evidence that the three image quality indexes, all derived from psychophysical data, are very weakly correlated. This emphasizes the need for a multicomponent description of image quality.

Paper Details

Date Published: 1 October 2010
PDF: 14 pages
J. Electron. Imaging. 19(4) 043004 doi: 10.1117/1.3495989
Published in: Journal of Electronic Imaging Volume 19, Issue 4
Show Author Affiliations
Roland Brémond, Lab. Central des Ponts et Chaussées (France)
Jean-Philippe Tarel, Lab. Central des Ponts et Chaussées (France)
Eric Dumont, Lab. Central des Ponts et Chaussées (France)
Nicolas Hautiere, Lab. Central des Ponts et Chaussées (France)


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