Proceedings of the 2017 International Conference on Social science, Education and Humanities Research (ICSEHR 2017)

A Median Filtering Method for Pulse Noise Detection

Authors
Zhang Yamei
Corresponding Author
Zhang Yamei
Available Online December 2017.
DOI
10.2991/icsehr-17.2017.24How to use a DOI?
Keywords
Impulse Noise; Noise Detection; Kernel Function; Median Filter (MF)
Abstract

This paper presents a method for detecting image impulse noise and using median filter to filter out impulse noise according to the test results. The method will contain the subspace of the subimage of the impulsive noise, and the kernel function is mapped into a hypersphere in the high dimensional space, and the radius R of the sphere and the corresponding spherical vector a are calculated. The median filter method is used to filter the detected noise points. The proposed algorithm is more accurate in judging noise, and the way to filter noise is more reasonable. The applicable image range is more extensive and has better filtering performance.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Social science, Education and Humanities Research (ICSEHR 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2017
ISBN
978-94-6252-424-8
ISSN
2352-5398
DOI
10.2991/icsehr-17.2017.24How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhang Yamei
PY  - 2017/12
DA  - 2017/12
TI  - A Median Filtering Method for Pulse Noise Detection
BT  - Proceedings of the 2017 International Conference on Social science, Education and Humanities Research (ICSEHR 2017)
PB  - Atlantis Press
SP  - 101
EP  - 104
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsehr-17.2017.24
DO  - 10.2991/icsehr-17.2017.24
ID  - Yamei2017/12
ER  -