A Filter Algorithm for Suppressing Mixed Noise Based on Grey Relevance
- https://doi.org/10.2991/iceesd-18.2018.125How to use a DOI?
- grey relevance, mixed noise, filter algorithm
In order to suppress the mixed noise composed of salt & pepper noise and Gauss noise in a digital image, a filter algorithm for suppressing mixed noise based on grey relevance is proposed. The algorithm classifies the noise point in the center of the filtering window, calculates the correlation coefficient of non-pepper and salt noise points in window by using the grey relational degree, and performs the weighted operation to replace the salt & pepper noise point. For Gaussian noise point, the algorithm uses the mean of non-pepper and salt noise points in the filtering window to replace. The experiments results show that the algorithm can suppresses the mixed noise in images, and improves the sharpness of the image, which is better than traditional filtering algorithms.
- © 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/).
Cite this article
TY - CONF AU - Dehai Shen AU - Xu E AU - Jian Hou AU - Qi Yan PY - 2018/05 DA - 2018/05 TI - A Filter Algorithm for Suppressing Mixed Noise Based on Grey Relevance BT - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018) PB - Atlantis Press SP - 675 EP - 679 SN - 2352-5401 UR - https://doi.org/10.2991/iceesd-18.2018.125 DO - https://doi.org/10.2991/iceesd-18.2018.125 ID - Shen2018/05 ER -