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Authors: Sou Oishi and Norishige Fukushima

Affiliation: Nagoya Institute of Technology, Japan

Keyword(s): High-dimensional Gaussian Filtering, Approximated Acceleration, Clustering, Constant-time Filtering, Bilateral Filtering, Non-local means, Dual Bilateral Filtering, Cross Trilateral Filtering.

Abstract: Edge-preserving filtering is an essential tool for image processing applications and has various types of filtering. For real-time applications, acceleration of its speed is also essential. To accelerate various types of edge-preserving filtering, we represent various edge-preserving filtering by high-dimensional Gaussian filtering. Then, we accelerate the high-dimensional Gaussian filtering by clustering-based constant algorithm, which has O(K) order, where K is the number of clusters. The clustering-based method was developed for color bilateral filtering; however, this paper used it for high-dimensional bilateral filtering. Also, cooperating with tiling, k-means++, and principal component analysis, we can further improve the filter’s performance. Experimental results show that our method can approximate various edge-preserving filtering by approximated clustering-based high-dimensional Gaussian filtering.

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Paper citation in several formats:
Oishi, S. and Fukushima, N. (2021). Clustering-based Acceleration for High-dimensional Gaussian Filtering. In Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP; ISBN 978-989-758-525-8; ISSN 2184-9471, SciTePress, pages 65-72. DOI: 10.5220/0010548600650072

@conference{sigmap21,
author={Sou Oishi. and Norishige Fukushima.},
title={Clustering-based Acceleration for High-dimensional Gaussian Filtering},
booktitle={Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP},
year={2021},
pages={65-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010548600650072},
isbn={978-989-758-525-8},
issn={2184-9471},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP
TI - Clustering-based Acceleration for High-dimensional Gaussian Filtering
SN - 978-989-758-525-8
IS - 2184-9471
AU - Oishi, S.
AU - Fukushima, N.
PY - 2021
SP - 65
EP - 72
DO - 10.5220/0010548600650072
PB - SciTePress