High quality impulse noise removal via non‐uniform sampling and autoregressive modelling based super‐resolution
Author:
Affiliation:
1. School of Electronic Engineering, Xidian UniversityXi'anShaanxi710071People's Republic of China
2. Space Star Technology CO., LtdBeijingPeople's Republic 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.2015.0216
Reference27 articles.
1. A simple and efficient median filter for removing high‐density impulse noise in images;Kuo Y.L.;Int. J. Fuzzy Syst.,2015
2. Random-valued impulse noise removal using adaptive dual threshold median filter
3. A switching median filter with boundary discriminative noise detection for extremely corrupted images;Ng P.E.;IEEE Trans. Image Process.,2006
4. Noise adaptive switching median‐based filter for impulse noise removal from extremely corrupted images;Fabijańska A.;IET Image Process.,2011
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