3-D Blur Estimation and Restoration of Sequential Space-Based Infrared Images

  • George A. Lampropoulos
  • James F. Boulter


Infrared satellite images are often of low resolution and degraded by additive noise, linear blurs, and nonlinear effects due to scintillation and jitter noise. By using sequential frames, the presence of nonlinear effects may be suppressed. In fact, nonlinear effects might contribute to improvements of such image resolution by applying multi-frame processing where sub-pixel resolution approaches are used.


Additive Noise Finite Impulse Response Image Restoration Wiener Filter Motion Blur 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    A.U.G. Signals Ltd., “Space Based Infrared (SBIR) Multi-Dimensional Image Processing”, Report No. &D-0002/93, September 1993.Google Scholar

Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • George A. Lampropoulos
    • 1
  • James F. Boulter
    • 2
  1. 1.A.U.G. Signals Ltd.TorontoCanada
  2. 2.Defence Research Establishment ValcartierCourceletteCanada

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