
Proceedings Paper
Multi-frame atmospheric compensation under moving camera conditionsFormat | Member Price | Non-Member Price |
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Paper Abstract
Multi-frame algorithms for the removal of atmospheric turbulence have proven effective under ideal conditions where
the scene remains static; however, movement of the camera across a scene often introduces undesirable effects that
degrade the quality of processed imagery to the point where it becomes unusable. This paper discusses the development
of two solutions to this problem, each with different computational costs and levels of efficacy. We discuss a solution to
this problem that uses robust registration methods to align a window of input images to each other and processes them to
obtain a single improved frame, repeating the sequence of realignment and processing each time a new frame arrives.
While this approach produces high quality results, the associated computational cost precludes real-time implementation,
even on accelerated platforms. An alternative solution involves measuring scene movement through lightweight
registration and quantification. Registration results are used to make a global determination of "safe" approaches to
processing in order to avoid degraded results. This particular method is computationally inexpensive at the cost of
efficacy. We discuss the performance of both of these modifications against the original, uncompensated algorithm in
terms of computational cost and quality of output imagery. Additionally, we will briefly discuss future goals which aim
to minimize additional computation while maximizing processing efficacy.
Paper Details
Date Published: 20 May 2011
PDF: 8 pages
Proc. SPIE 8060, Modeling and Simulation for Defense Systems and Applications VI, 806007 (20 May 2011); doi: 10.1117/12.884215
Published in SPIE Proceedings Vol. 8060:
Modeling and Simulation for Defense Systems and Applications VI
Eric J. Kelmelis, Editor(s)
PDF: 8 pages
Proc. SPIE 8060, Modeling and Simulation for Defense Systems and Applications VI, 806007 (20 May 2011); doi: 10.1117/12.884215
Show Author Affiliations
Aaron L. Paolini, EM Photonics, Inc. (United States)
Michael R. Bodnar, EM Photonics, Inc. (United States)
Michael R. Bodnar, EM Photonics, Inc. (United States)
Fernando Ortiz, EM Photonics, Inc. (United States)
Daniel K. Price, EM Photonics, Inc. (United States)
Daniel K. Price, EM Photonics, Inc. (United States)
Published in SPIE Proceedings Vol. 8060:
Modeling and Simulation for Defense Systems and Applications VI
Eric J. Kelmelis, Editor(s)
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