Multi-level adaptive switching filters for highly corrupted images
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing
Reference16 articles.
1. A review of image denoising algorithms, with a new one;Buades;Multiscale Model. Simul.,2005
2. Center weighted median filters and their applications to image enhancement;Ko;IEEE Trans. Circ. Syst.,1991
3. An improved recursive median filtering scheme for image processing;Guoping;IEEE Trans. Image Process.,1996
4. Adaptive median filters: new algorithms and results;Hwang;IEEE Trans. Image Process.,1995
5. Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization;Chan;IEEE Trans. Image Process.,2005
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