A new image quality measure considering perceptual information and local spatial feature

Authors:
Nathalie Girard;Jean-Marc Ogier;Étienne Baudrier
Affiliations:
Laboratoire d'Informatique, Image et Interactions, University of La Rochelle, La Rochelle, France;Laboratoire d'Informatique, Image et Interactions, University of La Rochelle, La Rochelle, France;Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, University of Strasbourg, Strasbourg, France
Venue:
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Year:
2009

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Abstract

This paper presents a new comparative objective method for image quality evaluation. This method relies on two keys points: a local objective evaluation and a perceptual gathering. The local evaluation concerns the dissimilarities between the degraded image and the reference image; it is based on a gray-level local Hausdorff distance. This local Hausdorff distance uses a generalized distance transform which is studied here. The evaluation result is a local dissimilarity map (LDMap). In order to include perceptual information, a perceptual map based on the image properties is then proposed. The coefficients of this map are used to weight and to gather the LDMap measures into a single quality measure. The perceptual map is tunable and it gives encouraging quality measures even with naive parameters.