Abstract
In this paper, a recursive filter to estimate the offset nonuniformity for infrared focal plane array imaging systems, using only the scene data, is presented. The proposed algorithm operates frame by frame in a pixel-by-pixel basis and there is not inter-related operations among the detectors. The method assumes that the input irradiance at each detector is a random and uniformly distributed variable in a range that is common to all detectors in the infrared focal plane array. The method is designed to operate in infrared imaging system, which exhibit important offset nonuniformities with slow temporal drift. The ability of the method to compensate for offset nonuniformity is demonstrated by employing several infrared video sequences obtained using an infrared camera.
This work was partially supported by Grants Milenio ICM P02-049 and by FONDECYT 1060894. The authors wish to thank Ernest E. Armstrong (OptiMetrics Inc., USA) and Pierre Potet (CEDIP Infrared Systems, France) for collecting the data, and the United States Air Force Research Laboratory, Ohio, USA.
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Martin, C.S., Torres, S.N. (2006). Statistical Recursive Filtering Estimation of Detector Offset Nonuniformity in Infrared Imaging Systems. In: Martínez-Trinidad, J.F., Carrasco Ochoa, J.A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2006. Lecture Notes in Computer Science, vol 4225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892755_48
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DOI: https://doi.org/10.1007/11892755_48
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