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Authors: Baptiste Magnier 1 ; Huanyu Xu 2 and Philippe Montesinos 1

Affiliations: 1 LGi2P de l’Ecole des Mines d’Alès, France ; 2 Nanjing University of Science and Technology, China

ISBN: 978-989-8565-47-1

Keyword(s): Shock Filter, Image Regularization, Deblurring, Half Gaussian Kernel.

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

Abstract: In this paper, a shock-diffusion model is presented to restore both blurred and noisy image. The proposed approach uses a half smoothing kernel to get the precise edge directions, and use different shock-diffusion strategies for different image regions. Experiment results on real images show that the proposed model can effectively eliminate noise and enhance edges while preserving small objects and corners simultaneously. Compared to other approaches, the proposed method offers both better visual results and qualitative measurements.

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Paper citation in several formats:
Magnier, B.; Xu, H. and Montesinos, P. (2013). Half Gaussian Kernels Based Shock Filter for Image Deblurring and Regularization.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 51-60. DOI: 10.5220/0004224500510060

@conference{visapp13,
author={Baptiste Magnier. and Huanyu Xu. and Philippe Montesinos.},
title={Half Gaussian Kernels Based Shock Filter for Image Deblurring and Regularization},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={51-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004224500510060},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Half Gaussian Kernels Based Shock Filter for Image Deblurring and Regularization
SN - 978-989-8565-47-1
AU - Magnier, B.
AU - Xu, H.
AU - Montesinos, P.
PY - 2013
SP - 51
EP - 60
DO - 10.5220/0004224500510060

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