Reduction of random-valued impulse noise by using multi-structured textons
Author:
Funder
University of Jeddah
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12578-9.pdf
Reference50 articles.
1. Akkoul S, Ledee R, Leconge R, Harba R (2010) A new adaptive switching median filter. IEEE Signal Process. Lett. 17(6):587–590
2. Azhar M, Dawood H, Dawood H (2018) Texture-oriented image denoising technique for the removal of random-valued impulse noise. J. Electron. Imaging 27(3):33028
3. Azhar M, Dawood H, Dawood H, Choudhary GI, Bashir AK, Chauhdary SH (2018) Detail-preserving switching algorithm for the removal of random-valued impulse noise. J. Ambient Intell. Humaniz. Comput.:1–21
4. Brownrigg DRK (1984) The weighted median filter. Commun ACM 27(8):807–818
5. Buades A, Coll B, Morel J-M (2005) A non-local algorithm for image denoising. in Computer Vision and Pattern Recognition, 2005 CVPR 2005 IEEE Computer Society Conference on 2:60–65
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