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Underwater image restoration: Effect of different dictionaries

: Farhadifard, Fahimeh

Fulltext urn:nbn:de:0011-n-3749251 (395 KByte PDF)
MD5 Fingerprint: 528f88df4cc168400c8fc1cfd531c283
Created on: 13.2.2016

Schulz, Hans-Jörg (Hrsg.); Urban, Bodo (Hrsg.); Lukas, Uwe von (Hrsg.) ; Fraunhofer-Institut für Graphische Datenverarbeitung -IGD-, Institutsteil Rostock; Univ. Rostock:
Proceedings of the International Summer School on Visual Computing 2015 : August 17-21, 2015 in Rostock, Germany
Stuttgart: Fraunhofer Verlag, 2015
ISBN: 978-3-8396-0960-6
International Summer School on Visual Computing <1, 2015, Rostock>
Conference Paper, Electronic Publication
Fraunhofer IGD ()
Fraunhofer IGD-R ()
computer vision; digital image processing; image restoration

Ocean engineering has a strong need for clear and high quality underwater images. Capturing a clear scene underwater is not a trivial task since color cast and scattering caused by light attenuation and absorption are common. The poor quality hinders the automatic segmentation or analysis of the images. In this work, an image restoration based on compressive sensing is reported which tackles with blurring caused by light scattering and provides better structural details. Furthermore, the effects of different dictionaries on the quality of restoration is studied. The aim is to use a single degraded underwater image and improve the image quality without any prior knowledge about the scene such as depth, camera-scene distance or water quality.