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Proceedings Paper

Using gaze information to improve image difference metrics
Author(s): Marius Pedersen; Jon Yngve Hardeberg; Peter Nussbaum
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Paper Abstract

We have used image difference metrics to measure the quality of a set of images to know how well they predict perceived image difference. We carried out a psychophysical experiment with 25 observers along with a recording of the observers gaze position. The image difference metrics used were CIELAB ΔEab, S-CIELAB, the hue angle algorithm, iCAM and SSIM. A frequency map from the eye tracker data was applied as a weighting to the image difference metrics. The results indicate an improvement in correlation between the predicted image difference and the perceived image difference.

Paper Details

Date Published: 14 February 2008
PDF: 12 pages
Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 680611 (14 February 2008); doi: 10.1117/12.764468
Show Author Affiliations
Marius Pedersen, Gjøvik Univ. College (Norway)
Jon Yngve Hardeberg, Gjøvik Univ. College (Norway)
Peter Nussbaum, Gjøvik Univ. College (Norway)


Published in SPIE Proceedings Vol. 6806:
Human Vision and Electronic Imaging XIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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