Title :
3-D Directional Diffusion
Author :
Pop, Sorin ; Terebes, Romulus ; Borda, Monica ; Lavialle, Olivier ; Voicu, Lulian ; Baylou, Pierre
Author_Institution :
Fac. of Electron. & Commun., Tech. Univ. of Cluj-Napoca
Abstract :
In this paper we propose a 3D filter for denoising and enhancing strongly oriented data. Our approach is based on 2D directional diffusion model proposed by Terebes et al. (2004). The diffusion process is modulated by a non-linear function depending on the absolute values of the directional derivatives in the 3 orthogonal directions of the space. These directions are the eigenvectors of a structure tensor. We compare this extension with an existing 3D extension designed by Dargent et al. (2004)
Keywords :
eigenvalues and eigenfunctions; filtering theory; image denoising; image enhancement; tensors; 3D directional diffusion; 3D filtering; directional derivatives; eigenvectors; image denoising; image enhancement; nonlinear function; structure tensor; Acoustic reflection; Diffusion processes; Equations; Filtering; Geology; Noise reduction; Nonlinear filters; Seismic waves; Smoothing methods; Tensile stress; 3-D filtering; directional derivative; directional diffusion; structure tensor;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630105
