Statistical algorithm for nonuniformity correction in focal-plane arrays

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چکیده

منابع مشابه

Statistical algorithm for nonuniformity correction in focal-plane arrays.

A statistical algorithm has been developed to compensate for the fixed-pattern noise associated with spatial nonuniformity and temporal drift in the response of focal-plane array infrared imaging systems. The algorithm uses initial scene data to generate initial estimates of the gain, the offset, and the variance of the additive electronic noise of each detector element. The algorithm then upda...

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An algebraic algorithm for nonuniformity correction in focal-plane arrays.

A scene-based algorithm is developed to compensate for bias nonuniformity in focal-plane arrays. Nonuniformity can be extremely problematic, especially for mid- to far-infrared imaging systems. The technique is based on use of estimates of interframe subpixel shifts in an image sequence, in conjunction with a linear-interpolation model for the motion, to extract information on the bias nonunifo...

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Algebraic Scene-Based Nonuniformity Correction in Focal-Plane Arrays

An algorithm is developed to compensate for the spatial fixed-pattern (nonuniformity) noise in focal-plane arrays, which is a pressing problem, particularly for midto 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 nonun...

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Nonuniformity correction algorithm with efficient pixel offset estimation for infrared focal plane arrays

This paper presents an infrared focal plane array (IRFPA) response nonuniformity correction (NUC) algorithm which is easy to implement by hardware. The proposed NUC algorithm is based on the linear correction scheme with the useful method of pixel offset correction coefficients update. The new approach to IRFPA response nonuniformity correction consists in the use of pixel response change deter...

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Nonuniformity Correction Algorithm Based on a Noise-Cancellation System for Infrared Focal-Plane Arrays

In this paper a novel nonuniformity correction method that compensates for the fixed-pattern noise (FPN) in infrared focal-plane array (IRFPA) sensors is developed. The proposed NUC method compensates for the additive component of the FPN statistically processing the read-out signal using a noise-cancellation system. The main assumption of the method is that a source of noise correlated to the ...

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ژورنال

عنوان ژورنال: Applied Optics

سال: 1999

ISSN: 0003-6935,1539-4522

DOI: 10.1364/ao.38.000772