Abstract
A statistical technique for adaptive nonuniformity correction of infrared image sequences has been developed. The method, which relies on our previously developed constant range nonuniformity correction method, estimates the nonuniformity parameters using two recursive estimation techniques. The method selects an estimation algorithm using a decision rule based on a threshold value computed from the collected infrared images. The strength of the method lies in its simplicity, low computational complexity, and its good trade-off between nonuniformity correction and ghosting artifacts reduction. The ability of the enhanced constant range technique to compensate for nonuniformity noise is demonstrated by using video sequences of infrared imagery with both real and synthetic nonuniformity.
This work was partially supported by the ‘Fondo Nacional de Ciencia y Tecnología’ FONDECYT of the Chilean government, project number 1020433 and by Grant Milenio ICM P02-049. 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.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Holst, G.: CCD arrays, cameras and displays. SPIE Optical Engineering Press, Bellingham (1996)
Harris, J., Chiang, Y.-M.: Nonuniformity Correction of Infrared Image Sequences Using the Constant-Statistics Constraint. IEEE Transactions on Image Processing 8, 1148–1151 (1999)
Armstrong, E., Hayat, M., Hardie, R., Torres, S., Yasuda, B.: The Advantage of Non-Uniformity Correction Pre-Processing on Infrared Image Registration. Application of Digital Image Processing XXII (1999)
Torres, S., Reeves, R.: Scene-Based Nonuniformity Correction Method Using Constant-Range. Performance and Analysis. In: Proc. SCI 2002/ISAS 2002, vol. IX (2002)
Wang, Z., Bovik, A.: A Universal Image Quality Index. IEEE Signal Processing Letters 20, 1–4 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pezoa, J.E., Torres, S.N., Córdova, J.P., Reeves, R.A. (2004). An Enhancement to the Constant Range Method for Nonuniformity Correction of Infrared Image Sequences. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2004. Lecture Notes in Computer Science, vol 3287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30463-0_66
Download citation
DOI: https://doi.org/10.1007/978-3-540-30463-0_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23527-9
Online ISBN: 978-3-540-30463-0
eBook Packages: Springer Book Archive