Real time turbulent video perfecting by image stabilization and super-resolution

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
Pages213-218
Number of pages6
StatePublished - 2007
Event7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007 - Palma de Mallorca, Spain
Duration: 29 Aug 200731 Aug 2007

Publication series

NameProceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007

Conference

Conference7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007
Country/TerritorySpain
CityPalma de Mallorca
Period29/08/0731/08/07

Keywords

  • Image processing and analysis
  • Super-resolution
  • Turbulence

Fingerprint

Dive into the research topics of 'Real time turbulent video perfecting by image stabilization and super-resolution'. Together they form a unique fingerprint.

Cite this