A Method Based on Statistical Characteristics for Image Denoising

DOI

10.2991/ameii-16.2016.293How to use a DOI?

Keywords

Median Filter, Impulse Noise, Image Denoising, Mean, Standard Deviation

Abstract

The median filter will cause fuzzy problems on edge details of the image when it is used to remove noise of an image. In this paper we discuss an improved median filtering method. Firstly according to the arithmetic mean we preliminarily detect signal points and suspicious noise points in the image, and further distinguish between signal points and noise points by standard deviation. The determined noise points will be processed by median filter and signal points will be retained the original pixel values. This method is used in numerical experiments. The results show that the clearer image may be obtained by the proposed method for image denoising that can prevent fuzzy image. The denoising image will retain edge details of the image and improve PSNR.

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/).

Download article (PDF)

TY  - CONF
AU  - Lihua Sun
AU  - Enliang ZHAO
PY  - 2016/04
DA  - 2016/04
TI  - A Method Based on Statistical Characteristics for Image Denoising
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.293
DO  - 10.2991/ameii-16.2016.293
ID  - Sun2016/04
ER  -