Using gaze information to improve image difference metrics
Journal article, Peer reviewed
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Original versionPedersen, M., Hardeberg, J. Y., & Nussbaum, P. (2008). Using gaze information to improve image difference metrics. In B. E. Rogowitz & T. N. Pappas (Eds.), Human Vision and Electronic Imaging XIII (Vol. 6806). Bellingham, Washington: SPIE - International Society for Optical Engineering. http://dx.doi.org/10.1117/12.764468
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 _DEab, S-CIELAB, the hue angle algorithm, iCAM and. 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.
This is the copy of journal's version originally published in Proc. SPIE 6806. Reprinted with permission of SPIE: http://spie.org/x10.xml?WT.svl=tn7