MR image reconstruction based on iterative split Bregman algorithm and nonlocal total variation

DOI10.1155/2013/985819zbMath1307.92178OpenAlexW2055244679WikidataQ37122506 ScholiaQ37122506MaRDI QIDQ2262388

Varun P. Gopi, Paul Babyn, Khan A. Wahid, P. K. Palanisamy

Publication date: 16 March 2015

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/985819

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Related Items (1)

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Uses Software

• RecPF

Cites Work

• Image recovery via nonlocal operators
• Image recovery via total variation minimization and related problems
• Affine invariant flows in the Beltrami framework
• Nonlocal Operators with Applications to Image Processing
• The Split Bregman Method for L1-Regularized Problems
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
• Recovery of Blocky Images from Noisy and Blurred Data
• FSIM: A Feature Similarity Index for Image Quality Assessment
• An Iterative Regularization Method for Total Variation-Based Image Restoration
• A Review of Image Denoising Algorithms, with a New One
• Compressed sensing

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