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Vision models for image quality assessment: one is not enough

[+] Author Affiliations
Roland Brémond, Jean-Philippe Tarel, Eric Dumont, Nicolas Hautière

Université Paris Est, Laboratoire Exploitation, Perception, Simulateurs et Simulations, Institut National de Recherche sur les Transports et leur Sécurité-Laboratoire Central des Ponts et Chaussées, 58 Boulevard Lefebvre, 75015 Paris, France

J. Electron. Imaging. 19(4), 043004 (December 09, 2010). doi:10.1117/1.3495989
History: Received September 02, 2009; Revised July 08, 2010; Accepted August 16, 2010; Published December 09, 2010; Online December 09, 2010
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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.

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Citation

Roland Brémond ; Jean-Philippe Tarel ; Eric Dumont and Nicolas Hautière
"Vision models for image quality assessment: one is not enough", J. Electron. Imaging. 19(4), 043004 (December 09, 2010). ; http://dx.doi.org/10.1117/1.3495989


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