The paper presents a real-time algorithm that compensates image distortions due to atmospheric turbulence in video sequences, while keeping the real moving objects in the video unharmed. The algorithm involves (1) generation of a "reference" frame, (2) estimation, for each incoming video frame, of a local image displacement map with respect to the reference frame, (3) segmentation of the displacement map into two classes: stationary and moving objects; (4) turbulence compensation of stationary objects. Experiments with both simulated and real-life sequences have shown that the restored videos, generated in real-time using standard computer hardware, exhibit excellent stability for stationary objects while retaining real motion. © 2007 Springer-Verlag.
CITATION STYLE
Fishbain, B., Yaroslavsky, L. P., & Ideses, I. A. (2007). Real-time stabilization of long range observation system turbulent video. Journal of Real-Time Image Processing, 2(1), 11–22. https://doi.org/10.1007/s11554-007-0037-x
Mendeley helps you to discover research relevant for your work.