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Single image marine snow removal based on a supervised median filtering scheme

: Farhadifard, Fahimeh; Radolko, Martin; Lukas, Uwe von

Postprint urn:nbn:de:0011-n-4424732 (11 MByte PDF)
MD5 Fingerprint: 25da5e8604684037832a0ed842876500
Erstellt am: 20.9.2017

Imai, Francisco (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
12th International Conference on Computer Vision Theory and Applications, VISIGRAPP 2017. Proceedings. Vol.4: VISAPP : February 27-1, 2017, in Porto, Portugal
SciTePress, 2017
ISBN: 978-989-758-225-7
International Joint Conference on Computer Vision and Computer Graphics Theory and Applications (VISIGRAPP) <12, 2017, Porto>
International Conference on Computer Vision Theory and Applications (VISAPP) <12, 2017, Porto>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
digital image processing; underwater imaging; image enhancement; Guiding Theme: Visual Computing as a Service; Research Area: Computer vision (CV)

Underwater image processing has attracted a lot of attention due to the special difficulties at capturing clean and high quality images in this medium. Blur, haze, low contrast and color cast are the main degradations. In an underwater image noise is mostly considered as an additive noise (e.g. sensor noise), although the visibility of underwater scenes is distorted by another source, termed marine snow. This signal disturbs image processing methods such as enhancement and segmentation. Therefore removing marine snow can improve image visibility while helping advanced image processing approaches such as background subtraction to yield better results. In this article, we propose a simple but effective filter to eliminate these particles from single underwater images. It consists of different steps which adapt the filter to fit the characteristics of marine snow the best. Our experimental results show the success of our algorithm at outperforming the existing approaches by effectively removing this phenomenon and preserving the edges as much as possible.