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Parametric image restoration using consensus: an application to nonstationary noise filtering

Luis Antonio González Jaime (UGent) , Mike Nachtegael (UGent) , Etienne Kerre (UGent) , Gonzalo Vegas-Sanchez-Ferrero and Santiago Aja-Fernandez
(2013) Lecture Notes in Computer Science. 7887. p.358-365
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Abstract
Image quality gets affected by unavoidable degradations. Several techniques have been proposed based on a priori information of the degradation. However, these techniques fail when the underlying parameters cannot be estimated. We propose a method to deal with situations when the underlying parameters are not known. It is based on the consensus achieved by using a set of aggregation functions and a penalty function. The method is tested in the case of a nonstationary Gaussian noise, and the Wiener filter is used to prove this methodology. The results show that the approach is consistent and it achieves comparable results for known parameters.
Keywords
noise filtering, Nonstationary noise, OWA operator

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MLA
González Jaime, Luis Antonio, et al. “Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering.” Lecture Notes in Computer Science, edited by JM Sanches et al., vol. 7887, Springer, 2013, pp. 358–65, doi:10.1007/978-3-642-38628-2_42.
APA
González Jaime, L. A., Nachtegael, M., Kerre, E., Vegas-Sanchez-Ferrero, G., & Aja-Fernandez, S. (2013). Parametric image restoration using consensus: an application to nonstationary noise filtering. In J. Sanches, M. Long, & J. Cardoso (Eds.), Lecture Notes in Computer Science (Vol. 7887, pp. 358–365). https://doi.org/10.1007/978-3-642-38628-2_42
Chicago author-date
González Jaime, Luis Antonio, Mike Nachtegael, Etienne Kerre, Gonzalo Vegas-Sanchez-Ferrero, and Santiago Aja-Fernandez. 2013. “Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering.” In Lecture Notes in Computer Science, edited by JM Sanches, Micol Long, and JS Cardoso, 7887:358–65. Berlin, Germany: Springer. https://doi.org/10.1007/978-3-642-38628-2_42.
Chicago author-date (all authors)
González Jaime, Luis Antonio, Mike Nachtegael, Etienne Kerre, Gonzalo Vegas-Sanchez-Ferrero, and Santiago Aja-Fernandez. 2013. “Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering.” In Lecture Notes in Computer Science, ed by. JM Sanches, Micol Long, and JS Cardoso, 7887:358–365. Berlin, Germany: Springer. doi:10.1007/978-3-642-38628-2_42.
Vancouver
1.
González Jaime LA, Nachtegael M, Kerre E, Vegas-Sanchez-Ferrero G, Aja-Fernandez S. Parametric image restoration using consensus: an application to nonstationary noise filtering. In: Sanches J, Long M, Cardoso J, editors. Lecture Notes in Computer Science. Berlin, Germany: Springer; 2013. p. 358–65.
IEEE
[1]
L. A. González Jaime, M. Nachtegael, E. Kerre, G. Vegas-Sanchez-Ferrero, and S. Aja-Fernandez, “Parametric image restoration using consensus: an application to nonstationary noise filtering,” in Lecture Notes in Computer Science, Funchal, Portugal, 2013, vol. 7887, pp. 358–365.
@inproceedings{6861419,
  abstract     = {{Image quality gets affected by unavoidable degradations. Several techniques have been proposed based on a priori information of the degradation. However, these techniques fail when the underlying parameters cannot be estimated. We propose a method to deal with situations when the underlying parameters are not known. It is based on the consensus achieved by using a set of aggregation functions and a penalty function. The method is tested in the case of a nonstationary Gaussian noise, and the Wiener filter is used to prove this methodology. The results show that the approach is consistent and it achieves comparable results for known parameters.}},
  author       = {{González Jaime, Luis Antonio and Nachtegael, Mike and Kerre, Etienne and Vegas-Sanchez-Ferrero, Gonzalo and Aja-Fernandez, Santiago}},
  booktitle    = {{Lecture Notes in Computer Science}},
  editor       = {{Sanches, JM and Long, Micol and Cardoso, JS}},
  isbn         = {{9783642386282}},
  issn         = {{0302-9743}},
  keywords     = {{noise filtering,Nonstationary noise,OWA operator}},
  language     = {{eng}},
  location     = {{Funchal, Portugal}},
  pages        = {{358--365}},
  publisher    = {{Springer}},
  title        = {{Parametric image restoration using consensus: an application to nonstationary noise filtering}},
  url          = {{http://doi.org/10.1007/978-3-642-38628-2_42}},
  volume       = {{7887}},
  year         = {{2013}},
}
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