Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

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

Authors
Zhongxin Gao
Corresponding Author
Zhongxin Gao
Available Online December 2018.
DOI
https://doi.org/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).
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.77How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 473
EP  - 483
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.77
DO  - https://doi.org/10.2991/tlicsc-18.2018.77
ID  - Gao2018/12
ER  -