The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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Le filtre de lissage préservant les bords lisse les textures tout en préservant les informations sur les bords nets. En traitement d’images, ce type de filtre est utilisé comme processus fondamental dans de nombreuses applications. Dans cet article, nous proposons une nouvelle approche pour un filtre de lissage préservant les bords. Notre méthode utilise un filtre local 2D pour lisser les images et nous appliquons une fonction d'indicateur pour restreindre la plage de pixels filtrés afin de préserver les bords. Pour définir la fonction indicatrice, nous recalculons la distance entre chaque pixel en utilisant les informations de bord. Les pixels proches du nouveau domaine sont utilisés pour le lissage. Puisque notre méthode contraint les pixels utilisés pour le filtrage, son temps d’exécution est assez rapide. Nous démontrons l'utilité de notre nouvelle méthode de lissage préservant les bords pour certaines applications.
Ryo ABIKO
Keio University
Masaaki IKEHARA
Keio University
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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 -