Nonparametric design of impulsive noise removal in colour images

• Autorzy: Smolka B. , Budzan S. , Lukač R.
• Języki publikacji: EN

Abstrakty

EN

In this paper the problem of nonparametric impulsive noise removal in multichannel images is addressed. The proposed filter class is based on the nonparametric estimation of the density probability function in a sliding filter window. The obtained results show good noise removal capabilities and excellent structure preserving properties of the new impulsive noise removal technique.

Słowa kluczowe

EN

colour image enhancement; impulsive noise removal; image restoration

PL

wzmocnienie obrazu kolorowego; impulsywne usuwanie szumów; odtworzenie obrazu

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2004
• Tom: Vol. 7
• Strony: MIP3--12
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Smolka B.

• Silesian University of Technology, Dept. of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland

autor

Budzan S.

• Silesian University of Technology, Dept. of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland

autor

Lukač R.

• The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto ON, M5S 3G4, Canada

Bibliografia

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• [3] P.E. TRAHANIAS, A.N. VENETSANOPOULOS, Vector directional filters: a new class of multichannel image processing filters, IEEE Trans. on Image Processing, 2,4, 528-534, 1993.
• [4] J. ASTOLA, P. HAAVISTO, Y NEUVO, Vector median filters, Proceedings of the IEEE, 78, 678-689, 1990.
• [5] K.N. PLATANIOTIS, A.N. VENETSANOPOULOS, "Color Image Processing and Applications", Springer Verlag, August 2000.
• [6] B.W. SILVERMAN, "Density Estimation for Statistics and Data Analysis", London, Chapman and Hall, 1986 [7] D.W. SCOTT, "Multivariate Density Estimation", New York, John Wiley, 1992
• [7] M.A. KRAAIJVELD, A Parzen classifier with an improved robustness against deviations between training and test data, Pattern Recognition Letters, 17, 679-689, 1996.
• [8] B. SMOLKA, K.N. PLATANIOTIS, A. CHYDZINSKI, M. SZCZEPANSKI, A.N. VENETSANOPULOS, K. WOJCIECHOWSKI, Self-adaptive algorithm of impulsive noise reduction in color images, Pattern Recognition, 35, 1771-1784, 2002.
• [9] B. SMOLKA, R. LUKAC, A. CHYDZINSKI, K.N. PLATANIOTIS, K. WOJCIECHOWSKI, Fast adaptive similarity based impulsive noise reduction filter, Real Time Imaging, 9, 261-276, 2003.