New methods for MRI denoising based on sparseness and self-similarity

@article{Manjn2012NewMF,
  title={New methods for MRI denoising based on sparseness and self-similarity},
  author={Jos{\'e} V. Manj{\'o}n and Pierrick Coup{\'e} and Antonio Buades and D. Louis Collins and Montserrat Robles},
  journal={Medical image analysis},
  year={2012},
  volume={16 1},
  pages={18-27}
}
This paper proposes two new methods for the three-dimensional denoising of magnetic resonance images that exploit the sparseness and self-similarity properties of the images. The proposed methods are based on a three-dimensional moving-window discrete cosine transform hard thresholding and a three-dimensional rotationally invariant version of the well-known nonlocal means filter. The proposed approaches were compared with related state-of-the-art methods and produced very competitive results… CONTINUE READING
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sub-bands mixing for image denoising

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1 Excerpt

Non - local means denoising algorithm accelerated by GPU

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