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dc.contributor.authorHübner, Claudia Susanne
dc.date.accessioned2024-07-01T12:42:04Z
dc.date.available2024-07-01T12:42:04Z
dc.date.issued2024
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/91189
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.en_US
dc.languageGermanen_US
dc.relation.ispartofseriesSchriftenreihe Automatische Sichtprüfung und Bildverarbeitungen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientistsen_US
dc.subject.otherPSF estimation; blind deconvolution; motion compensation; image reconstruction; Atmospheric turbulence; PSF-Schätzung; blinde Entfaltung; Bewegungskompensation; Bildrekonstruktion; Atmosphärische Turbulenzen_US
dc.titleMethodische Evaluation von Verfahren zur Korrektur atmosphärischer Turbulenz in Bildsequenzenen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000169601en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number7en_US
oapen.pages312en_US


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