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Optical Engineering

Restoration of turbulence degraded underwater images
Author(s): Andrey V. Kanaev; Leslie N. Smith; Weilin W. Hou; Sarah Woods
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Paper Abstract

The ability to image underwater is highly desired for scientific and military applications, including optical communications, submarine awareness, diver visibility, and mine detection. Underwater imaging is severely impaired by scattering and optical turbulence associated with refractive index fluctuations. This work introduces a novel approach to restoration of degraded underwater imagery based on a multi-frame correction technique developed for atmospheric distortions. The method represents synthesis of "lucky-region" fusion with nonlinear gain and optical flow-based image warping. The developed multiframe image restoration algorithm is tested on underwater imagery collected in a laboratory tank and in a field exercise. Reliance of image restoration on accuracy of the optical flow algorithm is revealed. The developed algorithm demonstrates significant resolution improvement of the restored image in comparison to any single frame or the mean of the underwater image sequence.

Paper Details

Date Published: 21 May 2012
PDF: 10 pages
Opt. Eng. 51(5) 057007 doi: 10.1117/1.OE.51.5.057007
Published in: Optical Engineering Volume 51, Issue 5
Show Author Affiliations
Andrey V. Kanaev, U.S. Naval Research Lab. (United States)
Leslie N. Smith, U.S. Naval Research Lab. (United States)
Weilin W. Hou, U.S. Naval Research Lab. (United States)
Sarah Woods, U.S. Naval Research Lab. (United States)


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