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Article Dans Une Revue Journal of the Optical Society of America Année : 2011

Estimating the usefulness of distorted natural images using an image contour degradation measure

Résumé

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.
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Dates et versions

hal-00561177 , version 1 (13-03-2013)

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David Rouse, Sheila Hemami, Romuald Pépion, Patrick Le Callet. Estimating the usefulness of distorted natural images using an image contour degradation measure. Journal of the Optical Society of America, 2011, 28 (2), pp.157-188. ⟨10.1364/JOSAA.28.000157⟩. ⟨hal-00561177⟩
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