Fast Edge Preserving 2D Smoothing Filter Using Indicator Function

Ryo ABIKO; Masaaki IKEHARA

doi:10.1587/transinf.2018EDP7437

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Fast Edge Preserving 2D Smoothing Filter Using Indicator Function

Ryo ABIKO, Masaaki IKEHARA

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Summary :

Edge-preserving smoothing filter smoothes the textures while preserving the information of sharp edges. In image processing, this kind of filter is used as a fundamental process of many applications. In this paper, we propose a new approach for edge-preserving smoothing filter. Our method uses 2D local filter to smooth images and we apply indicator function to restrict the range of filtered pixels for edge-preserving. To define the indicator function, we recalculate the distance between each pixel by using edge information. The nearby pixels in the new domain are used for smoothing. Since our method constrains the pixels used for filtering, its running time is quite fast. We demonstrate the usefulness of our new edge-preserving smoothing method for some applications.

Publication: IEICE TRANSACTIONS on Information Vol.E102-D No.10 pp.2025-2032

Publication Date: 2019/10/01

Publicized: 2019/07/22

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2018EDP7437

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

Authors

Ryo ABIKO
Keio University
Masaaki IKEHARA
Keio University

Keyword

edge-preserving smoothing, indicator function, denoising, contents matching

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Ryo ABIKO, Masaaki IKEHARA, "Fast Edge Preserving 2D Smoothing Filter Using Indicator Function" in IEICE TRANSACTIONS on Information, vol. E102-D, no. 10, pp. 2025-2032, October 2019, doi: 10.1587/transinf.2018EDP7437.
Abstract: Edge-preserving smoothing filter smoothes the textures while preserving the information of sharp edges. In image processing, this kind of filter is used as a fundamental process of many applications. In this paper, we propose a new approach for edge-preserving smoothing filter. Our method uses 2D local filter to smooth images and we apply indicator function to restrict the range of filtered pixels for edge-preserving. To define the indicator function, we recalculate the distance between each pixel by using edge information. The nearby pixels in the new domain are used for smoothing. Since our method constrains the pixels used for filtering, its running time is quite fast. We demonstrate the usefulness of our new edge-preserving smoothing method for some applications.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7437/_p

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@ARTICLE{e102-d_10_2025,
author={Ryo ABIKO, Masaaki IKEHARA, },
journal={IEICE TRANSACTIONS on Information},
title={Fast Edge Preserving 2D Smoothing Filter Using Indicator Function},
year={2019},
volume={E102-D},
number={10},
pages={2025-2032},
abstract={Edge-preserving smoothing filter smoothes the textures while preserving the information of sharp edges. In image processing, this kind of filter is used as a fundamental process of many applications. In this paper, we propose a new approach for edge-preserving smoothing filter. Our method uses 2D local filter to smooth images and we apply indicator function to restrict the range of filtered pixels for edge-preserving. To define the indicator function, we recalculate the distance between each pixel by using edge information. The nearby pixels in the new domain are used for smoothing. Since our method constrains the pixels used for filtering, its running time is quite fast. We demonstrate the usefulness of our new edge-preserving smoothing method for some applications.},
keywords={},
doi={10.1587/transinf.2018EDP7437},
ISSN={1745-1361},
month={October},}

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TY - JOUR
TI - Fast Edge Preserving 2D Smoothing Filter Using Indicator Function
T2 - IEICE TRANSACTIONS on Information
SP - 2025
EP - 2032
AU - Ryo ABIKO
AU - Masaaki IKEHARA
PY - 2019
DO - 10.1587/transinf.2018EDP7437
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2019
AB - Edge-preserving smoothing filter smoothes the textures while preserving the information of sharp edges. In image processing, this kind of filter is used as a fundamental process of many applications. In this paper, we propose a new approach for edge-preserving smoothing filter. Our method uses 2D local filter to smooth images and we apply indicator function to restrict the range of filtered pixels for edge-preserving. To define the indicator function, we recalculate the distance between each pixel by using edge information. The nearby pixels in the new domain are used for smoothing. Since our method constrains the pixels used for filtering, its running time is quite fast. We demonstrate the usefulness of our new edge-preserving smoothing method for some applications.
ER -