Improved structure-adaptive anisotropic filter

Authors:
Shlomo Greenberg;Daniel Kogan
Affiliations:
Electrical and Computer Engineering Department, Ben-Gurion University of the Negev, POB 84105, Beer-Sheva, Israel;Electrical and Computer Engineering Department, Ben-Gurion University of the Negev, POB 84105, Beer-Sheva, Israel
Venue:
Pattern Recognition Letters
Year:
2006

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Abstract

Most adaptive smoothing approaches damage image fidelity. In this paper we propose to improve the structure-adaptive anisotropic filtering approach using an elliptical kernel, a non-linear filtering function, and a more robust-to-noise technique for oriented pattern direction estimation. The proposed filter outperforms some others known filters and is more robust to noisy images.