A Weighted Multilevel Median Filtering Algorithm

DOI

10.2991/icaemt-15.2015.74How to use a DOI?

Keywords

mixed noise, multilevel median filter, Weight.

Abstract

In order to remove the mixed noise in an image, proposed a weighted filtering algorithm. The algorithm divided a 3x3 filtering window into six horizontal and vertical sub-windows, found out every median pixel of pixels in every sub-window and the median of these median pixels, calculated the absolution of difference between these median pixels and their median, then used these absolutions and their mean to calculate corresponding weight of every median pixel in sub-window according to normalizing method, used median pixel in every sub-window to multiple by its weight and sum, the result was taken as the center pixel filtering out. Experiments show that the proposed algorithm has better filtering performance for images mixed with impulse noise and Gauss noise than some others algorithms.

Copyright

© 2015, 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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TY  - CONF
AU  - Dehai Shen
AU  - Jian Hou
AU  - Xu E
AU  - Longchang Zhang
PY  - 2015/08
DA  - 2015/08
TI  - A Weighted Multilevel Median Filtering Algorithm
BT  - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology
PB  - Atlantis Press
SP  - 370
EP  - 374
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaemt-15.2015.74
DO  - 10.2991/icaemt-15.2015.74
ID  - Shen2015/08
ER  -