Diffraction effects detection for HDR image-based measurements
hal.structure.identifier | Melting the frontiers between Light, Shape and Matter [MANAO] | |
hal.structure.identifier | Laboratoire Photonique, Numérique et Nanosciences [LP2N] | |
dc.contributor.author | LUCAT, Antoine | |
hal.structure.identifier | Department of Cognitive Neuroscience [Tubingen] | |
dc.contributor.author | HEGEDUS, Ramon | |
hal.structure.identifier | Laboratoire Photonique, Numérique et Nanosciences [LP2N] | |
hal.structure.identifier | Melting the frontiers between Light, Shape and Matter [MANAO] | |
dc.contributor.author | PACANOWSKI, Romain | |
dc.date.accessioned | 2023-05-12T10:50:06Z | |
dc.date.available | 2023-05-12T10:50:06Z | |
dc.date.issued | 2017-10-20 | |
dc.identifier.issn | 1094-4087 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/181812 | |
dc.description.abstractEn | 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. | |
dc.description.sponsorship | Reproduction de textures d'objets d'art ancien à base de micro-géométrie - ANR-15-CE38-0005 | |
dc.language.iso | en | |
dc.publisher | Optical Society of America - OSA Publishing | |
dc.subject.en | (1001830) Deconvolution | |
dc.subject.en | (1000100) Image processing | |
dc.subject.en | (0501940) Diffraction | |
dc.subject.en | OCIS codes: (1200120) Instrumentation | |
dc.subject.en | measurement | |
dc.subject.en | and metrology | |
dc.subject.en | (0501220) Apertures | |
dc.title.en | Diffraction effects detection for HDR image-based measurements | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1364/OE.25.027146 | |
dc.subject.hal | Physique [physics] | |
bordeaux.journal | Optics Express | |
bordeaux.page | 2921 - 2929 | |
bordeaux.volume | 25 | |
bordeaux.hal.laboratories | Laboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298 | * |
bordeaux.issue | 22 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01637417 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01637417v1 | |
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