Abstract
In [1] we presented a recursive filter to estimate the detector offset nonuniformity (NU) noise present in infrared (IR) imaging systems. Such a filter was derived considering an estimation time-window short enough so that the offset NU can be regarded as a constant in noise. Since the offset NU is non-stationary, upon the arrival of new blocks of IR data new estimates of the offset NU have to be computed. In this paper, this recursive filter is extended by adding to the so-called intra-block processing (where offset NU is a constant) an inter-block processing algorithm. The inter-block processing algorithm considers the time varying effect in the offset NU and models it as a discrete-time Gauss-Markov random process. So, the extended filter is designed to compensate continuously for the NU when new blocks of frames arrive. In addition, the theoretical analysis of the estimator provides us expressions for selecting the appropriate parameters required by the algorithm. The ability of the method to compensate for the offset NU is demonstrated by employing several mid-wavelength IR video sequences.
This work was partially supported by Universidad de La Frontera, P. DIUFRO DI08-0048. The authors wish to thank Ernest E. Armstrong (OptiMetrics Inc., USA) for collecting the data, and the United States Air Force Research Laboratory, Ohio, USA.
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San Martin, C., Torres, S.: Statistical Recursive Filtering Estimation of Detector Offset Nonuniformity in Infrared Imaging System. In: Martínez-Trinidad, J.F., Carrasco Ochoa, J.A., Kittler, J. (eds.) CIARP 2006. LNCS, vol. 4225, pp. 464–473. Springer, Heidelberg (2006)
Scribner, D., Sarkady, K., Kruer, M.: Adaptive Nonuniformity Correction for Infrared Focal Plane Arrays using Neural Networks. Proc. of SPIE 1541, 100–109 (1991)
Scribner, D., Sarkady, K., Kruer, M.: Adaptive Retina-like Preprocessing for Imaging Detector Arrays. In: Proc. IEEE Int. Conf. on Neural Networks, vol. 3, pp. 1955–1960 (1993)
Torres, S., Vera, E., Reeves, R., Sobarzo, S.: Adaptive Scene-Based Nonuniformity Correction Method for Infrared Focal Plane Arrays. Proc. of SPIE 5076, 130–139 (2003)
Torres, S., Hayat, M.: Kalman Filtering for Adaptive Nonuniformity Correction in Infrared Focal Plane Arrays. The JOSA-A The Opt. Soc. of America 20, 470–480 (2003)
Torres, S., Pezoa, J., Hayat, M.: Scene-based Nonuniformity Correction for Focal Plane Arrays Using the Method of the Inverse Covariance Form. Applied Optics Inf. Proc. The Opt. Soc. of America 42, 5872–5881 (2003)
Pezoa, J., Hayat, M., Torres, S., Rahman, M.: Multimodel Kalman Filtering for Adaptive Nonuniformity Correction in Infrared Sensors. The JOSA-A The Opt. Soc. of America 23, 1282–1291 (2006)
Averbuch, A., Liron, G., Bobrovsky, B.: Scene Based Non-uniformity Correction in Thermal Images Using Kalman Filter. Elsevier Image and Vision Computing 25, 833–851 (2007)
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San-Martin, C., Pezoa, J., Torres, S., Meza, P., Gutierrez, D. (2008). Extended Recursive Filtering Estimation of Detector Offset Nonuniformity in Infrared Imaging Systems. In: Ruiz-Shulcloper, J., Kropatsch, W.G. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2008. Lecture Notes in Computer Science, vol 5197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85920-8_6
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