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Authors: Li Shi-Fei ; Wang Ping and Shen Zhen-Kang

Affiliation: ATR Lab, National University of Defense Technology, China

ISBN: 978-989-8111-69-2

Keyword(s): Diffusion filter, Visual gradient, Noise removal.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Filtering ; Image Formation and Preprocessing

Abstract: In recent years considerable amount of researchers have been devoted to anisotropic diffusion method and achieved a series of important development. However, human visual system which perceived and interpreted images has been paid little attention to in all these models. In this paper, we define a visual gradient, which is looked as a generalization of the image gradient. After that we substitute the visual gradient for the image gradient in the anisotropic diffusion model to keep to some extent consistent with human visual system for the first time. Finally numerical results show the proposed method’s performance.

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Paper citation in several formats:
Shi-Fei L.; Ping W.; Zhen-Kang S. and (2009). A NOISE REMOVAL MODEL WITH ANISOTROPIC DIFFUSION BASED ON VISUAL GRADIENT.In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 61-64. DOI: 10.5220/0001653700610064

@conference{visapp09,
author={Li Shi{-}Fei and Wang Ping and Shen Zhen{-}Kang},
title={A NOISE REMOVAL MODEL WITH ANISOTROPIC DIFFUSION BASED ON VISUAL GRADIENT},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={61-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001653700610064},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - A NOISE REMOVAL MODEL WITH ANISOTROPIC DIFFUSION BASED ON VISUAL GRADIENT
SN - 978-989-8111-69-2
AU - Shi-Fei, L.
AU - Ping, W.
AU - Zhen-Kang, S.
PY - 2009
SP - 61
EP - 64
DO - 10.5220/0001653700610064

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