HIGH DYNAMIC RANGE IMAGE PROCESSING USING MANIFOLD-BASED ORDERING
Résumé
Very few research works have addressed the problem of directly manipulating raw HDR vectors for general HDR image processing. In this paper a framework is proposed towards this aim and is based on a new representation of HDR images in the form of an ordering of vectors and an index image. This enables to formulate vector-preserving image processing methods dedicated to HDR images. The ordering relies on three steps: dictionary learning, manifold learning, and out of sample extension. The performance of the proposed approach is illustrated with innovative examples of HDR image filtering and enhancement.
Domaines
Traitement des images [eess.IV]
Origine : Fichiers produits par l'(les) auteur(s)
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