An Adaptive Median Filtering of Salt and Pepper Noise based on Local Pixel Distribution
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.77How to use a DOI?
- Impulse noise, noise detection, the self-adaptive median filter, PSNR, MSE, SSIM.
- 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.
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 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 - https://doi.org/10.2991/tlicsc-18.2018.77 ID - Gao2018/12 ER -