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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 47, Iss. 29 — Oct. 10, 2008
  • pp: 5394–5399

Noise-cancellation-based nonuniformity correction algorithm for infrared focal-plane arrays

Sebastián E. Godoy, Jorge E. Pezoa, and Sergio N. Torres  »View Author Affiliations


Applied Optics, Vol. 47, Issue 29, pp. 5394-5399 (2008)
http://dx.doi.org/10.1364/AO.47.005394


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Abstract

The spatial fixed-pattern noise (FPN) inherently generated in infrared (IR) imaging systems compromises severely the quality of the acquired imagery, even making such images inappropriate for some applications. The FPN refers to the inability of the photodetectors in the focal-plane array to render a uniform output image when a uniform-intensity scene is being imaged. We present a noise-cancellation-based algorithm that compensates for the additive component of the FPN. The proposed method relies on the assumption that a source of noise correlated to the additive FPN is available to the IR camera. An important feature of the algorithm is that all the calculations are reduced to a simple equation, which allows for the bias compensation of the raw imagery. The algorithm performance is tested using real IR image sequences and is compared to some classical methodologies.

© 2008 Optical Society of America

OCIS Codes
(040.3060) Detectors : Infrared
(100.2000) Image processing : Digital image processing
(100.2980) Image processing : Image enhancement

ToC Category:
Image Processing

History
Original Manuscript: May 14, 2008
Revised Manuscript: September 1, 2008
Manuscript Accepted: September 2, 2008
Published: October 8, 2008

Citation
Sebastián E. Godoy, Jorge E. Pezoa, and Sergio N. Torres, "Noise-cancellation-based nonuniformity correction algorithm for infrared focal-plane arrays," Appl. Opt. 47, 5394-5399 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-29-5394

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