2 February 2006 An adaptive model for restoration of optically distorted video frames
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Proceedings Volume 6065, Computational Imaging IV; 60650K (2006); doi: 10.1117/12.659844
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
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.
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Dalong Li, Mark J. T. Smith, Russell Mersereau, "An adaptive model for restoration of optically distorted video frames", Proc. SPIE 6065, Computational Imaging IV, 60650K (2 February 2006); doi: 10.1117/12.659844; https://doi.org/10.1117/12.659844
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KEYWORDS
Video

Atmospheric modeling

Motion models

Video surveillance

Atmospheric optics

Atmospheric turbulence

Point spread functions

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