Paper
10 September 2001 Algebraic scene-based nonuniformity correction in focal plane arrays
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Abstract
An algorithm is developed to compensate for the spatial fixed-pattern (nonuniformity) noise in focal-plane arrays, which is a pressing problem, particularly for mid- to far- infrared imaging systems. The proposed algorithm uses pairs of frames from an image sequence exhibiting pure horizontal and vertical sub-pixel shifts. The algorithm assumes a linear irradiance-voltage model for which the nonuniformity is attributed only to variation in the offset of various detectors in the array. Using a modified gradient-based shift estimator, pairs of frames exhibiting the above shift requirements can be identified and used to generate a correction matrix, which will compensate for the offset nonuniformity in all frames. The efficacy of this nonuniformity correction technique is demonstrated by applying it to infrared and simulated data. The strength of this technique is in its simplicity, requiring relatively few frames to generate an acceptable correction matrix.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bradley M. Ratliff, Majeed M. Hayat, and Russell C. Hardie "Algebraic scene-based nonuniformity correction in focal plane arrays", Proc. SPIE 4372, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XII, (10 September 2001); https://doi.org/10.1117/12.439146
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Infrared imaging

Infrared radiation

Sensors

Algorithm development

Detection and tracking algorithms

Nonuniformity corrections

Staring arrays

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