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26 February 2007 Real time stabilization of long range observation system turbulent video
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Proceedings Volume 6496, Real-Time Image Processing 2007; 64960C (2007)
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Long Range Observation Systems is a domain, which carries a lot of interest in many fields such as astronomy (i.e. planet exploration), geology, ecology, traffic control, remote sensing, and homeland security (surveillance and military intelligence). Ideally, image quality would be limited only by the optical setup used, but, in such systems, the major cause for image distortion is atmospheric turbulence. The paper presents a real-time algorithm that compensates images distortion due to atmospheric turbulence in video sequences, while keeping the real moving objects in the video unharmed. The algorithm is based on moving objects extraction; hence turbulence distortion compensation is applied only to the static areas of images. For that purpose a hierarchical decision mechanism is suggested. First, a lightweight computational decision mechanism which extracts most stationary areas is applied. Then a second step improves accuracy by more computationally complex algorithms. Finally, all areas in the incoming frame that were tagged as stationary are replaced with an estimation of the stationary scene. The restored videos exhibit excellent stability for stationary objects while retaining real motion. This is achieved in real-time on standard computer hardware.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Barak Fishbain, Leonid P. Yaroslavsky, Ianir A. Ideses, Ofer Ben-Zvi, and Alon Shtern "Real time stabilization of long range observation system turbulent video", Proc. SPIE 6496, Real-Time Image Processing 2007, 64960C (26 February 2007);

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