Paper
18 May 2012 Improved motion estimation for restoring turbulence-distorted video
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christine M. Zwart, Richard Pracht, and David H. Frakes "Improved motion estimation for restoring turbulence-distorted video", Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83550E (18 May 2012); https://doi.org/10.1117/12.921125
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Distortion

Atmospheric modeling

Motion models

Atmospheric physics

Motion estimation

Image quality

Video

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