A New Method For Removing High-Density Salt and Pepper Noise Based On Decision-based Based Algorithm
Authors
Nan Yang, Shi Yan, Xueting Jing, Tianqin Cui, Xiaodong Du
Corresponding Author
Nan Yang
Available Online June 2016.
- DOI
- 10.2991/mmebc-16.2016.461How to use a DOI?
- Keywords
- Median filtering; Processing structure; Iteration method;
- Abstract
The thesis proposes an improved median filtering algorithm for the restoration of images that are highly corrupted by salt and pepper noise. The proposed algorithm (PA) replaces the noisy pixel with the median of the already processed pixel values by changing the processing structure and using iteration method to solve three specific situations when all the pixels in the selected window are corrupted by noise. It turns out that PA can efficiently remove the salt and pepper noise when the noise level is higher than 60%. Simulation results are given to illustrate that PA can be applied to gray scale image denoising and outperforms the existing methods.
- 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/).
Cite this article
TY - CONF AU - Nan Yang AU - Shi Yan AU - Xueting Jing AU - Tianqin Cui AU - Xiaodong Du PY - 2016/06 DA - 2016/06 TI - A New Method For Removing High-Density Salt and Pepper Noise Based On Decision-based Based Algorithm BT - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer PB - Atlantis Press SP - 2293 EP - 2296 SN - 2352-5401 UR - https://doi.org/10.2991/mmebc-16.2016.461 DO - 10.2991/mmebc-16.2016.461 ID - Yang2016/06 ER -