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Proceedings Paper

Towards a perceptual quality metric for computer-generated images
Author(s): Pierre Boulenguez; Boris Airieau; Mohamed-Chaker Larabi; Daniel Meneveaux
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Paper Abstract

The physical validation of computer-generated images (CGIs) has received a lot of attention from the computer graphics community, as opposed to the assessment of these images' psychovisual quality. The field indeed lacks the proper tools to quantify the perceptual quality of a CGI. This paper engages in the construction of such a metric. A psychovisual experiment was submitted to a representative panel of observers, where participants were asked to score the overall quality and aspects of this quality for several CGIs. An analytical model was fit to the data, giving insight into the relative perceptual importances of these aspects. Accuracy in the simulation of shadows, good contrast and absence of noise were found to have a major impact on the perceived quality, rather than precise anti-aliasing and faithfull color bleeding.

Paper Details

Date Published: 24 January 2012
PDF: 10 pages
Proc. SPIE 8293, Image Quality and System Performance IX, 82930K (24 January 2012); doi: 10.1117/12.908067
Show Author Affiliations
Pierre Boulenguez, XLIM-SIC Labs., Poitiers Univ. (France)
Boris Airieau, XLIM-SIC Labs., Poitiers Univ. (France)
Mohamed-Chaker Larabi, XLIM-SIC Labs., Poitiers Univ. (France)
Daniel Meneveaux, XLIM-SIC Labs., Poitiers Univ. (France)


Published in SPIE Proceedings Vol. 8293:
Image Quality and System Performance IX
Frans Gaykema; Peter D. Burns, Editor(s)

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