Atmospheric distortion is a problem that affects a broad range of optical sensors in both the visible-light and infrared spectra. This phenomenon is particularly problematic for sensors that acquire image and video data along trajectories that cross strong thermal gradients. We present a restoration algorithm that focuses on motion compensation with control grid interpolation to improve degraded video. In the past, algorithms of this type have proven difficult to implement in real time due to computational requirements. The proposed algorithm leverages specific characteristics of atmospheric distortion to improve efficiency. Through application-specific optimization mathematics and by exploiting parallelization opportunities inherent to the algorithm, a high-quality solution to the atmospheric distortion problem is realized that is also suitable for real time implementation on embedded platforms.

Original languageEnglish (US)
Title of host publication2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - Proceedings
Number of pages5
StatePublished - Dec 27 2010
Event2010 IEEE Workshop on Signal Processing Systems, SiPS 2010 - San Francisco, CA, United States
Duration: Oct 6 2010Oct 8 2010

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)1520-6130


Other2010 IEEE Workshop on Signal Processing Systems, SiPS 2010
Country/TerritoryUnited States
CitySan Francisco, CA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics
  • Hardware and Architecture


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