LUCAT, Antoine; HEGEDUS, Ramon; PACANOWSKI, Romain

doi:10.1364/OE.25.027146

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

Langue

Article de revue

Ce document a été publié dans

Optics Express. 2017-10-20, vol. 25, n° 22, p. 2921 - 2929

Optical Society of America - OSA Publishing

Résumé en anglais

Modern imaging techniques have proved to be very efficient to recover a scene with high dynamic range (HDR) 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, utilizing a closed-form PSF, predicts where the diffraction will affect the pixels of an HDR image, making it possible to discard them from the measurement. Our approach gives better results than common deconvolution techniques and the uncertainty values (convolution kernel and noise) of the algorithm output are recovered.< Réduire

Mots clés en anglais

(1001830) Deconvolution

(1000100) Image processing

(0501940) Diffraction

OCIS codes: (1200120) Instrumentation

measurement

and metrology

(0501220) Apertures

URI

https://oskar-bordeaux.fr/handle/20.500.12278/181812

DOI

http://dx.doi.org/10.1364/OE.25.027146

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