Improved structure-adaptive anisotropic filter

Shlomo Greenberg; Daniel Kogan

doi:10.1016/j.patrec.2005.07.001

Improved structure-adaptive anisotropic filter

Shlomo Greenberg
, Daniel Kogan

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

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.

Original language	English
Pages (from-to)	59-65
Number of pages	7
Journal	Pattern Recognition Letters
Volume	27
Issue number	1
DOIs	https://doi.org/10.1016/j.patrec.2005.07.001
State	Published - 1 Jan 2006

Keywords

Image smoothing
Orientation estimation
Structure-adaptive anisotropic filter

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/j.patrec.2005.07.001

Cite this

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title = "Improved structure-adaptive anisotropic filter",

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.",

keywords = "Image smoothing, Orientation estimation, Structure-adaptive anisotropic filter",

author = "Shlomo Greenberg and Daniel Kogan",

year = "2006",

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N2 - 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.

AB - 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.

KW - Image smoothing

KW - Orientation estimation

KW - Structure-adaptive anisotropic filter

UR - https://www.scopus.com/pages/publications/27744482764

U2 - 10.1016/j.patrec.2005.07.001

DO - 10.1016/j.patrec.2005.07.001

M3 - Article

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SP - 59

EP - 65

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 1

ER -

Improved structure-adaptive anisotropic filter

Abstract

Keywords

ASJC Scopus subject areas

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