Paper
14 February 2008 Using gaze information to improve image difference metrics
Author Affiliations +
Proceedings Volume 6806, Human Vision and Electronic Imaging XIII; 680611 (2008) https://doi.org/10.1117/12.764468
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Eye

Image quality

Visualization

Detection and tracking algorithms

Color difference

RGB color model

Quality measurement

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