Non-local total bounded variation scheme for multiple-coil magnetic resonance image restoration

DOI10.1007/s11045-017-0510-zzbMath1448.94019OpenAlexW2734925944WikidataQ113106739 ScholiaQ113106739MaRDI QIDQ784657

P. Jidesh, Shivaram Holla

Publication date: 3 August 2020

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-017-0510-z

zbMATH Keywords

split Bregman\textit{Chi} distributed noisemultiple-coil MRI restorationnon-local total BV

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Cites Work

• Nonlinear total variation based noise removal algorithms
• A MRI denoising method based on 3D nonlocal means and multidimensional PCA
• Split Bregman algorithms for sparse group lasso with application to MRI reconstruction
• Geometric applications of the split Bregman method: segmentation and surface reconstruction
• Split Bregman iteration algorithm for total bounded variation regularization based image deblurring
• A first-order primal-dual algorithm for convex problems with applications to imaging
• A coupled variational model for image denoising using a duality strategy and split Bregman
• Nonlocal Operators with Applications to Image Processing
• Noise-Driven Anisotropic Diffusion Filtering of MRI
• An Augmented Lagrangian Method for Total Variation Video Restoration
• Signal Recovery by Proximal Forward-Backward Splitting

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