Magnetic Resonance Imaging Restoration based on Kolmogorov-Smirnov Non Local Mean

Author:

Baselice Fabio,Ferraioli Giampaolo,Sorriso Antonietta

Publisher

Springer Singapore

Reference14 articles.

1. Mohan J., Krishnaveni V., Guo Yanhui. A survey on the magnetic resonance image denoising methods Biomedical Signal Processing and Control. 2014;9:56- 69.

2. Baselice F., Ferraioli G., Pascazio V., Sorriso A.. Bayesian MRI denoising in complex domain Magnetic Resonance Imaging. 2017;38:112-122.

3. Baselice F., Ferraioli G., Pascazio V.. A 3D MRI denoising algorithm based on Bayesian theory BioMedical Engineering OnLine. 2017;16:25.

4. Coupe P., Yger P., Prima S., Hellier P., Kervrann C., Barillot C.. An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images IEEE Transactions on Medical Imaging. 2008;27:425-441.

5. Buades A., Coll B., Morel J.-M.. A review of image denoising algorithms, with a new one IAM Journal on Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal. 2005;4:490–530.

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