Noise identification and estimation of its statistical parameters by using unsupervised variational classification

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2006, Pages

  Vozel, B ^a   Chehdi, K ^a   Klaine, L ^a   Lukin, Vladimir V ^b   Abramov, Sergey K ^b  

^a IETR   (France)

^b NATIONAL AEROSPACE UNIVERSITY   (Ukraine)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); IMAGE PROCESSING; IMPULSE NOISE; PARAMETER ESTIMATION; PROBLEM SOLVING; STATISTICAL METHODS; VARIATIONAL TECHNIQUES;

DEGRADED IMAGES; MULTIPLICATIVE NOISE; STATISTICAL PARAMETERS;

ACOUSTIC NOISE;

EID: 33947681696     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. L. Alparone, F. Argenti, and G. Torricelli. Modelling and assessment of signal-dependent noise for image de-noising. In Proceedings of EUSIPCO'02, Toulouse, pages 287-290, 2002.
2. G. Aubert, L. Blanc-Féraud, and R. March. Γ-convergence of discrete functional with non-convex perturbation for image classification. Technical Report 4560, Institut National de Recherche en Informatique et en Automatique, September 2002.
3. G. Aubert and P. Kornpobst. Mathematical problems in image processing (Partial differential equations and the calculus of variations). Springer, 2002.
4. L. Beaurepaire, K. Chehdi, and B. Vozel. Identification of the nature of noise and estimation of its statistical parameters by analysis of local histograms. In Proceedings of ICASSP'97, April 21-24, Munich, 1997.
5. A. Buades, B. Coll, and J.-M. Morel. Image denoising by non-local averaging. In Proceedings of ICASSP'05, Philadelphia, (II), pages 25-28, 2005.
6. M.P. Carton-Vandecandelaere, B. Vozel, L. Klaine, and K. Chehdi. Application to multispectral images of a blind identification system for blur, additive, multiplicative and impulse noises. In Proceedings of EUSIPCO'02, Toulouse, pages 283-286, 2002.
7. C. Kermad and K. Chehdi. Research of an automatic and unsupervised system of segmentation. Image and Vision Computing, Edition Elsevier, pages 541-555, 2002.
8. A. Kurekin, V. Lukin, A. Zelensky, P. Koivisto, and J. Astola. Comparison of component and vector filter performance with application to multichannel and color image processing. In Proc. of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Antalya, Turkey, pages 38-42, 1999.
9. T. Lee and X.-L. Meng. A self-consistent wavelet method for denoising images with missing pixels. In Proceedings of ICASSP'05, Philadelphia, II, pages 41-44, 2005.
10. L. Rudin and S. Osher. Nonlinear total variation based noise removal algorithms. In Physica D (60), pages 259-268, 1992.
11. C. Samson, L. Blanc-Féraud, G. Aubert, and J. Zerubia. A variational model for image classification and restoration. IEEE Transaction on Pattern Analysis and Machine Intelligence, 22(5):460-472, May 2000.