An Adaptive Median Filtering of Salt and Pepper Noise based on Local Pixel Distribution

DOI

10.2991/tlicsc-18.2018.77How to use a DOI?

Keywords

Impulse noise, noise detection, the self-adaptive median filter, PSNR, MSE, SSIM.

Abstract

A selective adaptive median filter is proposed for the restoration of gray scale images that are highly corrupted by salt and pepper noise. In this paper, impulse noise removal using the standard median filter and its variants are analyzed. After detecting the salt and pepper noise pixels, the self-adaptive median filter is use to find a suitable window containing more non-noise pixels. This proposed algorithm provides much better results than that of the standard median filter, weighed median filter and switching mean median filter. The proposed algorithm is tested against different gray scale images and it gives better Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE) and Structural Similarity Index (SSIM).

Copyright

© 2018, 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  - Zhongxin Gao
PY  - 2018/12
DA  - 2018/12
TI  - An Adaptive Median Filtering of Salt and Pepper Noise based on Local Pixel Distribution
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 473
EP  - 483
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.77
DO  - 10.2991/tlicsc-18.2018.77
ID  - Gao2018/12
ER  -