LUCAT, Antoine; HEGEDUS, Ramon; PACANOWSKI, Romain

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Licence d’utilisation du document

LUCAT, Antoine
Melting the frontiers between Light, Shape and Matter [MANAO]
Laboratoire Photonique, Numérique et Nanosciences [LP2N]

HEGEDUS, Ramon
Department of Cognitive Neuroscience [Tubingen]

PACANOWSKI, Romain
Melting the frontiers between Light, Shape and Matter [MANAO]
Laboratoire Photonique, Numérique et Nanosciences [LP2N]

Langue

Communication dans un congrès avec actes

Ce document a été publié dans

EUROGRAPHICS WORKSHOP ON MATERIAL APPEARANCE MODELING, 2017-06-18, Helsinki. 2017

Résumé en anglais

Modern imaging techniques have proved to be very efficient to recover a scene with high dynamic range values. However, this high dynamic range can introduce star-burst patterns around highlights arising from the diffraction of the camera aperture. The spatial extent of this effect can be very wide and alters pixels values, which, in a measurement context, are not reliable anymore. To address this problem, we introduce a novel algorithm that predicts, from a closed-form PSF, where the diffraction will affect the pixels of an HDR image, making it possible to discard them from the measurement. Our results give better results than common deconvolution techniques and the uncertainty values (convolution kernel and noise) of the algorithm output are recovered.< Réduire

URI

https://oskar-bordeaux.fr/handle/20.500.12278/181862

Project ANR

Reproduction de textures d'objets d'art ancien à base de micro-géométrie - ANR-15-CE38-0005

Origine

Importé de hal

Unités de recherche

Laboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298