A Weighted Filtering Algorithm Based on Virtual Center Of Sub-window

DOI

10.2991/icmia-16.2016.147How to use a DOI?

Keywords

mixed noise, child window, virtual center, weight.

Abstract

In order to remove the mixed noise in an image, proposed a new weighted filtering algorithm. The algorithm used 5x5 filtering window, divided the window into sixteen 2x2 sub-windows, took these median pixel of every sub-window as their virtual center, then calculated the weights of these virtual center points according to the improved IMF method. At last, used these virtual center points and their weights to weight average, the result is used as the filtering output of the filtering window. Experiments indicate that the new algorithm has good filtering performance for images mixed with Gauss noise and impulse noise, the effects are superior to the traditional median filtering algorithm and mean filtering algorithm and IMF algorithm.

Copyright

© 2016, 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  - E Xu
AU  - Longchang Zhang
AU  - Qi Yan
PY  - 2016/11
DA  - 2016/11
TI  - A Weighted Filtering Algorithm Based on Virtual Center Of Sub-window
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.147
DO  - 10.2991/icmia-16.2016.147
ID  - Shen2016/11
ER  -