Automatic detection and removal of high‐density impulse noises
Author:
Affiliation:
1. School of Computer and Information, Hefei University of TechnologyHefei CityPeople's Republic of China
2. School of Software Engineering, University of Science and Technology of ChinaHefei CityPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2014.0286
Reference30 articles.
1. Adaptive median filters: new algorithms and results
2. An efficient detail‐preserving approach for removing impulse noise in images;Luo W.;IEEE Signal Process. Lett.,2006
3. Fast and efficient median filter for removing 1–99% levels of salt-and-pepper noise in images
4. Application of partition‐based median type filters for suppressing noise in images;Chen T.;IEEE Trans. Image Process.,2001
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