Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

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
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multidisciplinary ambulatory management of malignant bowel obstruction (MAMBO) program in patients with advanced gynecological cancers: A prospective study.

Gynecologic oncology·2025
Same author

Variation in mortality following hip fracture across the Asia Pacific region: Systematic review and proportional meta-analysis.

Archives of gerontology and geriatrics·2024
Same author

Genomic analysis of inbreeding level, kinship and breed relationships in Creole cattle from South America.

Animal genetics·2024
Same author

Economic evaluation of the Very Early Rehabilitation in SpEech (VERSE) intervention.

Topics in stroke rehabilitation·2023
Same author

Establishing a Chinese older hip fracture registry for older patients: a Delphi study to define the focus and key variables for this registry.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA·2023
Same author

Single-agent anti-PD-1 or combined with ipilimumab in patients with mucosal melanoma: an international, retrospective, cohort study.

Annals of oncology : official journal of the European Society for Medical Oncology·2022
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

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.

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.

Related Experiment Videos

  • 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.