Abstract
A scene-based method for nonuniformity correction of infrared image sequences is developed and tested. The method uses the information embedded in the scene and performs the correction in a frame by frame Kalman Filter approach. The key assumption of the method is that the uncertainty on the input infrared irradiance integrated by each detector is solved using the spatial infrared information collected from the scene. The performance of the method is tested using infrared image sequences captured by two infrared cameras.
Keywords
- Infrared Sensor-Imaging
- Infrared Focal Plane Arrays
- Signal Processing
- Kalman Filtering
- Image Coding
- Processing and Analysis
This work was partially supported by Grant Milenio ICM P02-049. S. Sobarzo acknowledges support from Conicyt. The authors wish to thank Ernest E. Armstrong (OptiMetrics Inc., USA) and Pierre Potet (CEDIP Infrared Systems, France) for collecting the data.
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© 2005 Springer-Verlag Berlin Heidelberg
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Sobarzo, S.K., Torres, S.N. (2005). Real-Time Kalman Filtering for Nonuniformity Correction on Infrared Image Sequences: Performance and Analysis. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_78
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DOI: https://doi.org/10.1007/11578079_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
Online ISBN: 978-3-540-32242-9
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