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dc.contributor.authorHübner, Claudia Susanne
dc.date.accessioned2024-07-02T04:06:04Z
dc.date.available2024-07-02T04:06:04Z
dc.date.issued2024
dc.date.submitted2024-07-01T12:42:04Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/91189
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/139144
dc.description.abstractFor long horizontal propagation distances, it is the atmosphere, not the sensor technology which is responsible for the quality of acquired image data. Atmospheric turbulence causes increased blur, reduced (color) contrast and (apparent) image motion, as well as image deformation. This work addresses the question of how best to mitigate these degrading effects and improve image data quality using suitable reconstruction techniques.
dc.languageGerman
dc.relation.ispartofseriesSchriftenreihe Automatische Sichtprüfung und Bildverarbeitung
dc.rightsopen access
dc.subject.otherPSF estimation; blind deconvolution; motion compensation; image reconstruction; Atmospheric turbulence; PSF-Schätzung; blinde Entfaltung; Bewegungskompensation; Bildrekonstruktion; Atmosphärische Turbulenz
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
dc.titleMethodische Evaluation von Verfahren zur Korrektur atmosphärischer Turbulenz in Bildsequenzen
dc.typebook
oapen.identifier.doi10.5445/KSP/1000169601
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages312
dc.seriesnumber7


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