Beitrag zur Unterwasserbildrestauration

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 degradati...

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Bibliographic Details
Main Author: Stephan, Thomas
Format: eBook
Published: KIT Scientific Publishing 2017
Series:Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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245 0 0 |a Beitrag zur Unterwasserbildrestauration  |h Elektronische Ressource 
260 |b KIT Scientific Publishing  |c 2017 
300 |a 1 electronic resource (XX, 210 p. p.) 
653 |a Bildgewinnung 
653 |a image restoration 
653 |a Bildrestauration 
653 |a Modelierung 
653 |a Signalverarbeitung 
653 |a data retrieval 
653 |a Unterwasser 
653 |a signal processing 
653 |a image enhancement 
653 |a Bildverbesserung 
653 |a modeling 
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490 0 |a Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung 
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520 |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.