On the application of the forward and backward diffusion scheme for image enhancement

• Autorzy: Smolka B.
• Języki publikacji: EN

Abstrakty

EN

In this paper a novel approach to the problem of edge preserving smoothing is proposed and evaluated. The new algorithm is based on the combined forward and backward anisotropic diffusion with incorporated time dependent cooling process. This method is able to efficiently remove image noise, while preserving and enhancing its edges.

Słowa kluczowe

EN

image enhancement; noise reduction; anisotropic diffusion

PL

poprawa jakości obrazu; redukcja szumów; anizotropowa dyfuzja

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2002
• Tom: Vol. 3
• Strony: MI51--60
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Smolka B.

• Silesian University of Technology, Department of Automatic Control, Gliwice, Poland

Bibliografia

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• [3] M.J. Black, G. Sapiro, D.H. Marimont and D. Heeger, Robust anisotropic diffusion, IEEE Transactions on Image Processing, Vol. 7 (3), pp. 421-432, March 1998
• [4] J. Weickert, "Anisotropic Diffusion in Image Processing", Stuttgart-Germany: Teubner-Verlag, 1998
• [5] P. Blomgren, T. Chan, Color TV: Total variation methods for restoration of vector valued images, IEEE Transactions on Image Processing, March 1998, Special issue on Geometry Driven Diffusion and PDEs in Image Processing
• [6] G. Gilboa, Y. Zeevi, N. Sochen, Anisotropic selective inverse diffusion for signal enhancement in the presence of noise, Proc. IEEE ICASSP-2000, Istanbul, Turkey, vol. I, pp. 211-224, June 2000
• [7] G. Gilboa, Y. Zeevi, N. Sochen, Resolution enhancement by forward-and-backward nonlinear diffusion process, Nonlinear Signal and Image Processing, Baltimore, Maryland, June 2001
• [8] G. Gilboa, Y. Zeevi, N. Sochen, Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process, EUSIPCO-2000, Tampere, Finland, September 2000