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Proceedings Paper

Turbulence stabilization
Author(s): Yu Mao; Jérôme Gilles
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Paper Abstract

We recently developed a new approach to get a stabilized image from a sequence of frames acquired through atmospheric turbulence. The goal of this algorihtm is to remove the geometric distortions due by the atmosphere movements. This method is based on a variational formulation and is efficiently solved by the use of Bregman iterations and the operator splitting method. In this paper we propose to study the influence of the choice of the regularizing term in the model. Then we proposed to experiment some of the most used regularization constraints available in the litterature.

Paper Details

Date Published: 18 May 2012
PDF: 7 pages
Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83550H (18 May 2012); doi: 10.1117/12.917964
Show Author Affiliations
Yu Mao, Univ. of Minnesota (United States)
Jérôme Gilles, Univ. of California, Los Angeles (United States)

Published in SPIE Proceedings Vol. 8355:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII
Gerald C. Holst; Keith A. Krapels, Editor(s)

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