%% The Code is created based on the method described in the following papers:
% Q. Liu, H. Leung, "Synthesis-analysis deconvolutional network for compressed sensing," Image Processing (ICIP), 2017 IEEE International Conference on. IEEE, 2017: 1940-1944.
% Author: Q. Liu, H. Leung
% Date : 09/2018
% Version : 1.0
% The code and the algorithm are for non-comercial use only.
% Copyright 2018, Department of Electronic Information Engineering, Nanchang University.
% SADN - Synthesis-analysis deconvolutional network
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Predual dictionary learning (PDL) / augmented Lagrangian multi-scale dictionary learning(ALM-DL) [Paper] [Code]
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Adaptive dictionary learning in sparse gradient domain for image recovery [Paper] [Code]
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Highly undersampled magnetic resonance image reconstruction using two-level Bregman method with dictionary updating [Paper] [Code]
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Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction [Paper] [Code]
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Field-of-Experts Filters Guided Tensor Completion [Paper] [Code] [Slide]
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Sparse and dense hybrid representation via subspace modeling for dynamic MRI [Paper] [Code]
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IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI [Paper] [Code]
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A Comparative Study of CNN-based Super-resolution Methods in MRI Reconstruction and Its Beyond [Paper] [Code]