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Proceedings Paper

An adaptive model for restoration of optically distorted video frames
Author(s): Dalong Li; Mark J. T. Smith; Russell Mersereau
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Paper Abstract

Atmospheric turbulence is a common problem in astronomy and long distance surveillance applications. It can lead to optical distortions that can significantly degrade the quality of the captured images and video. Quality improvement can be achieved through digital restoration methods that effectively suppress the effects of optical distortion. In this paper, atmospheric optical distortion is modeled as having two components: a dispersive component and a time-varying distortion component. A new restoration algorithm is introduced that compensates for dispersion using a fourth-order statistic and employs a new adaptive warping algorithm to suppress turbulent motion effects. The new algorithm is able to improve quality significantly and is able to handle diffcult cases involving panning, zooming, and natural motion.

Paper Details

Date Published: 2 February 2006
PDF: 8 pages
Proc. SPIE 6065, Computational Imaging IV, 60650K (2 February 2006); doi: 10.1117/12.659844
Show Author Affiliations
Dalong Li, Georgia Institute of Technology (United States)
Mark J. T. Smith, Purdue Univ. (United States)
Russell Mersereau, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 6065:
Computational Imaging IV
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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