Abstract
In this paper, we use the recently presented wavelet-FFT filter [1] to reduce the nonuniformity noise that affect almost all infrared imaging systems. The wavelet-FFT filter was originally developed to compensate the one-dimensional noise known as stripping noise. We perform an extension of this methodology in order to compensate the two-dimensional noise that degrades infrared imagery. The principal hypothesis of this work is that the two-dimensional focal-plane array can be considered as the composition of vertical and horizontal one-dimensional array sensors. Under this assumption we use a specific design of the wavelet filter to synthesize a replica of the two-dimensional noise and then recover the real incident radiation. The method is evaluated using real mid- and long-wave infrared data from two cameras. The results show the promising performance of the wavelet-FFT filter when is applied in infrared imaging system such as self heating effect.
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Munch, B., Trtik, P., Marone, F., Stampanoni, M.: Stripe and ring artifact removal with combined wavelet-Fourier filtering. Opt. Express 17, 8567–8591 (2009)
Torres, S., Hayat, M.: Kalman Filtering for Adaptive Non uniformity Correction in Infrared Focal Plane Arrays. The JOSA-A Opt. Soc. of America 20, 470–480 (2003)
Liu, J.G., Morgan, G.L.K.: FFT Selective and Adaptive Filtering for Removal of Systematic Noise in ETM+Imageodesy Images. IEEE Trans. Geosci. Remote Sens. 44, 3716–3724 (2006)
Zhang, Z., Shi, Z., Guo, W., Huang, S.: Adaptively Image De-striping through Frequency Filtering. In: ICO20: Opt. Inf. Proc., Proc. SPIE 6027, p. 60273V (2006)
Wang, Z., Fu, Y.: Frequency-domain Regularized Deconvolution for Images with Stripe Noise. In: ICIG Proc. 4th Intl Conf. Image and Graphics, pp. 110–115 (2007)
Godoy, S., Torres, S., Pezoa, J., Hayat, M., Wang, Q.: Nonuniformity correction algorithm based on a noise-cancellation system for infrared focal-plane arrays. In: Proc. SPIE, vol. 6542 (2007) 65423S
Torres, S., Pezoa, J., Hayat, M.: Scene-based Nonuniformity Correction for Focal Plane Arrays Using the Method of the Inverse Covariance Form. OSA App. Opt. Inf. Proc. 42, 5872–5881 (2003)
Hayat, M., Torres, S., Amstrong, E., Cain, S., Yasuda, B.: Statistical algorithm for non uniformity correction in focal plane arrays. Applied Optics 38, 773–780 (1999)
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© 2012 Springer-Verlag Berlin Heidelberg
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San Martin, C., Deocares, C., Godoy, S., Meza, P., Bonilla, D. (2012). Wavelet-FFT Filter Applied to Non Uniformity Correction in Infrared Imaging System. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_44
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DOI: https://doi.org/10.1007/978-3-642-33275-3_44
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