Physics – Optics
Scientific paper
2007-04-25
Physics
Optics
Submitted to The Seventh IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2007) August, 2
Scientific paper
10.1007/s11554-007-0037-x
Image and video quality in Long Range Observation Systems (LOROS) suffer from atmospheric turbulence that causes small neighbourhoods in image frames to chaotically move in different directions and substantially hampers visual analysis of such image and video sequences. The paper presents a real-time algorithm for perfecting turbulence degraded videos by means of stabilization and resolution enhancement. The latter is achieved by exploiting the turbulent motion. The algorithm involves generation of a reference frame and estimation, for each incoming video frame, of a local image displacement map with respect to the reference frame; segmentation of the displacement map into two classes: stationary and moving objects and resolution enhancement of stationary objects, while preserving real motion. Experiments with synthetic and real-life sequences have shown that the enhanced videos, generated in real time, exhibit substantially better resolution and complete stabilization for stationary objects while retaining real motion.
Fishbain Barak
Ideses Ianir A.
Yaroslavsky Leonid P.
No associations
LandOfFree
Real Time Turbulent Video Perfecting by Image Stabilization and Super-Resolution does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Real Time Turbulent Video Perfecting by Image Stabilization and Super-Resolution, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Real Time Turbulent Video Perfecting by Image Stabilization and Super-Resolution will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-372665