Title
Evaluation of turbulence mitigation methods
Author
van Eekeren, A.W.M.
Huebner, C.S.
Dijk, J.
Schutte, K.
Schwering, P.B.W.
Publication year
2014
Abstract
Atmospheric turbulence is a well-known phenomenon that diminishes the recognition range in visual and infrared image sequences. There exist many different methods to compensate for the effects of turbulence. This paper focuses on the performance of two software-based methods to mitigate the effects of low-And medium turbulence conditions. Both methods are capable of processing static and dynamic scenes. The first method consists of local registration, frame selection, blur estimation and deconvolution. The second method consists of local motion compensation, fore-/background segmentation and weighted iterative blind deconvolution. A comparative evaluation using quantitative measures is done on some representative sequences captured during a NATO SET 165 trial in Dayton. The amount of blurring and tilt in the imagery seem to be relevant measures for such an evaluation. It is shown that both methods improve the imagery by reducing the blurring and tilt and therefore enlarge the recognition range. Furthermore, results of a recognition experiment using simulated data are presented that show that turbulence mitigation using the first method improves the recognition range up to 25% for an operational optical system. © 2014 SPIE.
Subject
Physics & Electronics
II - Intelligent Imaging ; ED - Electronic Defence
TS - Technical Sciences
Defence Research
Defence, Safety and Security
Atmospheric turbulence
Convolution
Imaging systems
Infrared imaging
Motion compensation
Optical systems
Comparative evaluations
Iterative blind deconvolution
Local registration
Mitigation methods
Quantitative measures
Software-based method
Turbulence conditions
Visual and infrared images
Iterative methods
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http://resolver.tudelft.nl/uuid:d18527e1-8ac9-479f-becf-b489c3e7c31b
DOI
https://doi.org/10.1117/12.2050314
TNO identifier
513349
Publisher
SPIE, Bellingham, WA
ISSN
1996-756X
Source
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV, 6-8 May 2014, Baltimore, MD, USA
Series
Proceedings of SPIE
Document type
conference paper