4 February 2010 A novel 3D anisotropic diffusion filter
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Abstract
We propose a 3D anisotropic diffusion filter for denoising and enhancing oriented data. The approach is a generalization of a previous contribution and it is based on a novel, more precise orientation estimation step. The orientation in the 3D space is computed using an asymmetric Isotropic Recursive Oriented Network (IRON) operator that can handle in a natural way junctions and corners. In the experimental section we employ a set of 3D synthetic blocks to illustrate the efficiency of the new method through quantitative and visual comparisons with other 3D-extended classical models or recently proposed 3D Partial Differential Equations (PDE).
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Sorin Pop, Romulus Terebes, Jean-Pierre Da Costa, Christian Germain, Monica Borda, Cosmin Ludusan, Olivier Lavialle, "A novel 3D anisotropic diffusion filter", Proc. SPIE 7526, Three-Dimensional Image Processing (3DIP) and Applications, 752603 (4 February 2010); doi: 10.1117/12.838742; https://doi.org/10.1117/12.838742
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