A Perceptual Image Quality Evaluation based on Local Spatial Information
Résumé
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 graylevel local Hausdorff distance. This new 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 LDM measures into a single quality measure. The perceptual map is tunable but it gives encouraging quality measures even with naive parameters.
Origine : Fichiers produits par l'(les) auteur(s)
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