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210512 ||| deu |
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|a 9783731505792
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|a 1000058567
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|a Stephan, Thomas
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|a Beitrag zur Unterwasserbildrestauration
|h Elektronische Ressource
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260 |
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|b KIT Scientific Publishing
|c 2017
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300 |
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|a 1 electronic resource (XX, 210 p. p.)
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653 |
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|a Bildgewinnung
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653 |
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|a image restoration
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653 |
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|a Bildrestauration
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|a Modelierung
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653 |
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|a Signalverarbeitung
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653 |
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|a data retrieval
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653 |
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|a Unterwasser
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653 |
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|a signal processing
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|a image enhancement
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|a Bildverbesserung
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653 |
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|a modeling
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|a deu
|2 ISO 639-2
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|b DOAB
|a Directory of Open Access Books
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|a Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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|a 10.5445/KSP/1000058567
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|u https://www.ksp.kit.edu/9783731505792
|7 0
|x Verlag
|3 Volltext
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|u https://directory.doabooks.org/handle/20.500.12854/41925
|z DOAB: description of the publication
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|a Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions.
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