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BlurTags: spatially varying PSF estimation with out-of-focus patterns

dc.contributor.authorREUTER, Alexander
hal.structure.identifierMax-Planck-Institut für Informatik [MPII]
dc.contributor.authorSEIDEL, Hans-Peter
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorIHRKE, Ivo
dc.date.accessioned2023-05-12T10:21:26Z
dc.date.available2023-05-12T10:21:26Z
dc.date.issued2012
dc.date.conference2012-06-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181109
dc.description.abstractEnCurrent research is targeting the estimation and correction of lens imperfections. often modeled as a set of spatially varying point spread functions (PSFs). One way to measure these PSFs is their calibration with checkerboard patterns. Previous work, however, does not fully exploit all benefits of using a checkerboard. In particular, we show in this paper that the pose of the checkerboard with respect to the camera can be exploited to yield information on the circle of confusion, and thus the image blur of an ideal camera. By removing this expected blur, we can estimate residual PSFs that are due to the deviation of the optical system from a thin-lens model. The residual PSFs can then be used to sharpen images at comparable lens settings. Practical side effects of our method are the design of a self-identifying pattern that can be robustly detected even in the case of image blur, and a corresponding algorithm for its detection.
dc.language.isoen
dc.title.enBlurTags: spatially varying PSF estimation with out-of-focus patterns
dc.typeCommunication dans un congrès avec actes
dc.subject.halPhysique [physics]/Physique [physics]/Optique [physics.optics]
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
dc.subject.halInformatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
bordeaux.page239--247
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.countryCZ
bordeaux.title.proceeding20th International Conference on Computer Graphics, Visualization and Computer Vision 2012, WSCG'2012
bordeaux.conference.cityPlenz
bordeaux.peerReviewedoui
hal.identifierhal-00876507
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00876507v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2012&rft.spage=239--247&rft.epage=239--247&rft.au=REUTER,%20Alexander&SEIDEL,%20Hans-Peter&IHRKE,%20Ivo&rft.genre=proceeding


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