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Related Experiment Video

Updated: Jul 7, 2026

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

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Statistical algorithm for nonuniformity correction in focal-plane arrays.

M M Hayat1, S N Torres, E Armstrong

  • 1Graduate Program in Electro-Optics, University of Dayton, Dayton, Ohio 45468, USA. mhayat@engr.udayton.edu

Applied Optics
|February 29, 2008
PubMed
Summary

A new statistical algorithm effectively reduces fixed-pattern noise in infrared imaging systems. This method improves image quality by compensating for detector variations using a least-mean-square error filter.

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Area of Science:

  • Infrared Imaging Technology
  • Signal Processing
  • Image Restoration

Background:

  • Focal-plane array infrared imaging systems suffer from fixed-pattern noise.
  • This noise arises from spatial nonuniformity and temporal drift in detector response.
  • Accurate image restoration is crucial for reliable infrared data analysis.

Purpose of the Study:

  • To develop a statistical algorithm for compensating fixed-pattern noise in infrared imaging.
  • To enhance the accuracy and reliability of infrared image restoration.
  • To provide an alternative to traditional multi-point calibration techniques.

Main Methods:

  • A statistical algorithm was developed to estimate detector gain, offset, and noise variance.
  • Initial scene data is used for parameter estimation.
  • Subsequent frames update parameters for a least-mean-square error finite-impulse-response filter.

Main Results:

  • The algorithm successfully compensates for fixed-pattern noise.
  • Restored infrared images show significant improvement.
  • Performance compares favorably with established multiple-point calibration methods.

Conclusions:

  • The developed statistical algorithm is effective for noise reduction in infrared imaging.
  • This method offers a robust approach to image restoration for focal-plane arrays.
  • The algorithm provides a viable alternative to complex calibration procedures.