Real-time stabilization of long range observation system turbulent video

Barak Fishbain*, Leonid P. Yaroslavsky, Ianir A. Ideses

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)11-22
Number of pages12
JournalJournal of Real-Time Image Processing
Issue number1
StatePublished - Oct 2007


  • Optical-flow
  • Rank filtering
  • Real-time processing
  • Turbulence compensation


Dive into the research topics of 'Real-time stabilization of long range observation system turbulent video'. Together they form a unique fingerprint.

Cite this