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Authors: Shu Fujita and Norishige Fukushima

Affiliation: Nagoya Institute of Technology, Japan

ISBN: 978-989-758-175-5

ISSN: 2184-4321

Keyword(s): High-dimensional Filtering, Constant Time Filtering, Guided Image Filtering.

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

Abstract: We present high-dimensional filtering for extending guided image filtering. Guided image filtering is one of edge-preserving filtering, and the computational time is constant to the size of the filtering kernel. The constant time property is essential for edge-preserving filtering. When the kernel radius is large, however, the guided image filtering suffers from noises because of violating a local linear model that is the key assumption in the guided image filtering. Unexpected noises and complex textures often violate the local linear model. Therefore, we propose high-dimensional guided image filtering to avoid the problems. Our experimental results show that our high-dimensional guided image filtering can work robustly and efficiently for various image processing.

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Paper citation in several formats:
Fujita, S. and Fukushima, N. (2016). High-dimensional Guided Image Filtering.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, ISSN 2184-4321, pages 25-32. DOI: 10.5220/0005715100250032

@conference{visapp16,
author={Shu Fujita. and Norishige Fukushima.},
title={High-dimensional Guided Image Filtering},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005715100250032},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP, (VISIGRAPP 2016)
TI - High-dimensional Guided Image Filtering
SN - 978-989-758-175-5
AU - Fujita, S.
AU - Fukushima, N.
PY - 2016
SP - 25
EP - 32
DO - 10.5220/0005715100250032

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