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Proceedings Paper

Spatially adaptive image quality metrics for perceptual image quality assessment
Author(s): Karel Fliegel
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Paper Abstract

The problem of objective image quality assessment has been known for couple of decades but with emerging multimedia technologies it becomes very important. This paper presents an approach to predict perceived quality of compressed images while incorporating real visual attention coordinates. Information about the visual attention is not usually taken into account in models for image quality assessment. Impact of the region of interest on estimation accuracy of a simple image quality metric has been investigated in our previous papers. The gaze coordinates were calculated using calibrated electro-oculogram records of human observers while watching a number of test images. This paper further investigates this idea using data from more observers. Obtained mean opinion scores of perceived image quality and eye tracking data were used to verify potential improvement of assessment accuracy for a simple image quality metric.

Paper Details

Date Published: 3 September 2009
PDF: 8 pages
Proc. SPIE 7444, Mathematics for Signal and Information Processing, 744406 (3 September 2009); doi: 10.1117/12.825904
Show Author Affiliations
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)

Published in SPIE Proceedings Vol. 7444:
Mathematics for Signal and Information Processing
Franklin T. Luk; Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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