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Estimating the usefulness of distorted natural images using an image contour degradation measure |
JOSA A, Vol. 28, Issue 2, pp. 157-188 (2011)
http://dx.doi.org/10.1364/JOSAA.28.000157
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Abstract
Quality estimators aspire to quantify the perceptual resemblance, but not the usefulness, of a distorted image when compared to a reference natural image. However, humans can successfully accomplish tasks (e.g., object identification) using visibly distorted images that are not necessarily of high quality. A suite of novel subjective experiments reveals that quality does not accurately predict utility (i.e., usefulness). Thus, even accurate quality estimators cannot accurately estimate utility. In the absence of utility estimators, leading quality estimators are assessed as both quality and utility estimators and dismantled to understand those image characteristics that distinguish utility from quality. A newly proposed utility estimator demonstrates that a measure of contour degradation is sufficient to accurately estimate utility and is argued to be compatible with shape-based theories of object perception.
© 2011 Optical Society of America
OCIS Codes
(110.2960) Imaging systems : Image analysis
(110.3000) Imaging systems : Image quality assessment
(110.3925) Imaging systems : Metrics
ToC Category:
Imaging Systems
History
Original Manuscript: July 20, 2010
Revised Manuscript: November 5, 2010
Manuscript Accepted: November 8, 2010
Published: January 24, 2011
Virtual Issues
Vol. 6, Iss. 3 Virtual Journal for Biomedical Optics
Citation
David M. Rouse, Sheila S. Hemami, Romuald Pépion, and Patrick Le Callet, "Estimating the usefulness of distorted natural images using an image contour degradation measure," J. Opt. Soc. Am. A 28, 157-188 (2011)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-28-2-157
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