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Proceedings Paper

TARID-based adaptive nonuniformity correction
Author(s): Jonathon M. Schuler; J. Grant Howard; Penny R. Warren; Dean A. Scribner
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Paper Abstract

The performance of any scene-adaptive Nonuniformity Correction (NUC) algorithm is fundamentally limited by the quality of the scene-based predicted value of each pixel. TARID-based composite imagery can serve as a scene-based pixel predictor with improved robustness, and reduced noise than that of more common scene-based pixel predictors. These improved properties result in dramatically faster algorithm convergence, generating corrected imagery with reduced spatial noise due to intrinsic nonuniform or inoperative pixels in a Focal Plane Array.

Paper Details

Date Published: 29 July 2002
PDF: 7 pages
Proc. SPIE 4719, Infrared and Passive Millimeter-wave Imaging Systems: Design, Analysis, Modeling, and Testing, (29 July 2002); doi: 10.1117/12.477442
Show Author Affiliations
Jonathon M. Schuler, Naval Research Lab. (United States)
J. Grant Howard, Naval Research Lab. (United States)
Penny R. Warren, Naval Research Lab. (United States)
Dean A. Scribner, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 4719:
Infrared and Passive Millimeter-wave Imaging Systems: Design, Analysis, Modeling, and Testing
Roger Appleby; David A. Wikner; Roger Appleby; Gerald C. Holst; David A. Wikner, Editor(s)

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