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Proceedings Paper

Improved motion estimation for restoring turbulence-distorted video
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Paper Abstract

Artificial displacement (the apparent motion of stationary objects) is one important component of atmospheric turbulence distortion, which has led many researchers to propose motion compensation as a solution. Defining a sufficiently dense set of motion estimates for successful restoration is challenging, particularly for time sensitive applications. We introduce a new, control grid implementation of optical flow that allows for rapid and analytical solutions to the motion estimation problem. Our results demonstrate the effectiveness of using the resulting motion field for removing articial displacements in turbulence distorted videos.

Paper Details

Date Published: 18 May 2012
PDF: 9 pages
Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83550E (18 May 2012); doi: 10.1117/12.921125
Show Author Affiliations
Christine M. Zwart, Arizona State Univ. (United States)
Richard Pracht, 4-D Imaging, Inc. (United States)
David H. Frakes, Arizona State Univ. (United States)
4-D Imaging, Inc. (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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