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Proceedings Paper

Image reconstruction from videos distorted by atmospheric turbulence
Author(s): Xiang Zhu; Peyman Milanfar
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Paper Abstract

To correct geometric distortion and reduce blur in videos that suffer from atmospheric turbulence, a multi-frame image reconstruction approach is proposed in this paper. This approach contains two major steps. In the first step, a B-spline based non-rigid image registration algorithm is employed to register each observed frame with respect to a reference image. To improve the registration accuracy, a symmetry constraint is introduced, which penalizes inconsistency between the forward and backward deformation parameters during the estimation process. A fast Gauss-Newton implementation method is also developed to reduce the computational cost of the registration algorithm. In the second step, a high quality image is restored from the registered observed frames under a Bayesian reconstruction framework, where we use L1 norm minimization and a bilateral total variation (BTV) regularization prior, to make the algorithm more robust to noise and estimation error. Experiments show that the proposed approach can effectively reduce the influence of atmospheric turbulence even for noisy videos with relatively long exposure time.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 75430S (18 January 2010); doi: 10.1117/12.840127
Show Author Affiliations
Xiang Zhu, Univ. of California, Santa Cruz (United States)
Peyman Milanfar, Univ. of California, Santa Cruz (United States)


Published in SPIE Proceedings Vol. 7543:
Visual Information Processing and Communication
Amir Said; Onur G. Guleryuz, Editor(s)

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