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Related Experiment Videos

Scene-based nonuniformity correction with video sequences and registration.

R C Hardie1, M M Hayat, E Armstrong

  • 1Department of Electrical and Computer Engineering and the Electro-Optics Program, University of Dayton, 300 College Park, Dayton, Ohio 45469-0226, USA. rhardie@engr.udayton.edu

Applied Optics
|March 14, 2008
PubMed
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A new scene-based algorithm corrects array detector nonuniformity by registering image frames. This method estimates true scene values and detector parameters for accurate image correction with low computational cost.

Area of Science:

  • Image processing
  • Detector physics

Background:

  • Array detectors suffer from pixel-to-pixel nonuniformity, causing fixed-pattern noise.
  • Accurate image data is crucial for various scientific and imaging applications.

Purpose of the Study:

  • To introduce a novel scene-based nonuniformity correction algorithm for array detectors.
  • To address fixed-pattern noise caused by detector pixel variations.

Main Methods:

  • The algorithm registers a sequence of observed frames to identify detectors observing the same scene irradiance.
  • It averages detector outputs to estimate true scene values.
  • Curve fitting is employed to estimate individual detector response parameters for correction.

Main Results:

Related Experiment Videos

  • Demonstrated effective nonuniformity correction using visible and infrared imagery.
  • Validated the algorithm's performance with simulated and real nonuniformity.
  • Showcased simplicity and low computational complexity.

    • Conclusions:

    • The developed algorithm provides an effective and computationally efficient solution for array detector nonuniformity correction.
    • The method is applicable to various imaging scenarios, including those with low-to-moderate nonuniformity levels.