An adaptive model for restoration of optically distorted video frames

Details An adaptive model for restoration of optically distorted video frames An adaptive model for restoration of optically distorted video frames

Feb 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spie.6065..159l&link_type=abstract

Computational Imaging IV. Edited by Bouman, Charles A.; Miller, Eric L.; Pollak, Ilya. Proceedings of the SPIE, Volume 6065, p

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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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