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Generalized algebraic scene-based nonuniformity correction algorithm.

Bradley M Ratliff1, Majeed M Hayat, J Scott Tyo

  • 1Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, New Mexico 87131-1356, USA.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|February 19, 2005
PubMed
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This study presents a generalized algebraic algorithm for correcting nonuniformity in focal plane array (FPA) sensors. The new method corrects bias in FPA response using image frames with translational motion, eliminating the need for calibration targets.

Area of Science:

  • Optics and Photonics
  • Sensor Technology
  • Image Processing

Background:

  • Nonuniformity in focal plane array (FPA) sensors degrades image quality.
  • Existing correction algorithms often require specific calibration targets or hardware, limiting their applicability.
  • Algebraic scene-based nonuniformity correction offers a promising approach for real-time applications.

Purpose of the Study:

  • To generalize an existing algebraic scene-based nonuniformity correction algorithm for FPAs.
  • To develop a method that corrects bias nonuniformity using arbitrary translational motion in image frames.
  • To eliminate the need for blackbody calibration targets or shutters in the correction process.

Main Methods:

  • A generalized algebraic algorithm is developed for nonuniformity correction.

Related Experiment Videos

  • The technique utilizes pairs of image frames with one- or two-dimensional translational motion.
  • Compensator quantities are computed from image frames to correct FPA bias response.

    • Main Results:

    • The generalized algorithm effectively removes bias nonuniformity in FPA response.
    • The method demonstrated high-quality correction on real infrared (IR) data from cooled and uncooled FPAs.
    • Theoretical and experimental error analysis was conducted to assess compensator estimate accuracy.

    Conclusions:

    • The generalized algebraic algorithm provides effective nonuniformity correction for FPAs without calibration targets.
    • The algorithm's low computational overhead supports real-time hardware implementation.
    • The technique shows robust performance across various IR FPA types and operational conditions.