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14 February 2008 Using gaze information to improve image difference metrics
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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.
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Marius Pedersen, Jon Yngve Hardeberg, and Peter Nussbaum "Using gaze information to improve image difference metrics", Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 680611 (14 February 2008); https://doi.org/10.1117/12.764468
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