Decoupled algorithm for MRI reconstruction using nonlocal block matching model: BM3D-MRI

DOI10.1007/s10851-016-0647-7zbMath1386.68204OpenAlexW2304034118MaRDI QIDQ333612

Ender M. Eksioglu

Publication date: 31 October 2016

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-016-0647-7

zbMATH Keywords

image reconstructionblock matchingmagnetic resonancesparsitycompressed sensingBM3D

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (6)

Nonlocal elastica model for sparse reconstruction ⋮ Unnamed Item ⋮ DESN: an unsupervised MR image denoising network with deep image prior ⋮ A nonconvex penalization algorithm with automatic choice of the regularization parameter in sparse imaging ⋮ Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI ⋮ IDPCNN: iterative denoising and projecting CNN for MRI reconstruction

Uses Software

• RecPF
• DLMRI-Lab
• BM3D

Cites Work

• Unnamed Item
• Operator splittings, Bregman methods and frame shrinkage in image processing
• Image recovery via total variation minimization and related problems
• The Split Bregman Method for L1-Regularized Problems
• Iterative Algorithms Based on Decoupling of Deblurring and Denoising for Image Restoration
• A unified treatment of some iterative algorithms in signal processing and image reconstruction
• Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
• Compressive Imaging via Approximate Message Passing With Image Denoising
• Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring
• BM3D Frames and Variational Image Deblurring

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