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Model based image restoration for underwater images

 
: Stephan, T.; Frühberger, P.; Werling, S.; Heizmann, M.

:

Remondino, F. (Ed.) ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Videometrics, Range Imaging, and Applications XII, and Automated Visual Inspection : 13.-16.5.2013, Munich, Germany
Bellingham, WA: SPIE, 2013 (Proceedings of SPIE 8791)
ISBN: 978-0-8194-9607-2
Paper 87911F
Conference "Videometrics, Range Imaging, and Applications" <12, 2013, Munich>
English
Conference Paper
Fraunhofer IOSB ()

Abstract
The inspection of offshore parks, dam walls and other infrastructure under water is expensive and time consuming, because such constructions must be inspected manually by divers. Underwater buildings have to be examined visually to find small cracks, spallings or other deficiencies. Automation of underwater inspection depends on established water-proved imaging systems. Most underwater imaging systems are based on acoustic sensors (sonar). The disadvantage of such an acoustic system is the loss of the complete visual impression. All information embedded in texture and surface reflectance gets lost. Therefore acoustic sensors are mostly insufficient for these kind of visual inspection tasks. Imaging systems based on optical sensors feature an enormous potential for underwater applications. The bandwidth from visual imaging systems reach from inspection of underwater buildings via marine biological applications through to exploration of the seafloor. The reason for the lack of established optical systems for underwater inspection tasks lies in technical difficulties of underwater image acquisition and processing. Lightening, highly degraded images make a computational postprocessing absolutely essential.

: http://publica.fraunhofer.de/documents/N-264578.html