MatlabR2016b for SADN computing
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MatlabR2016b is installed in this image to run the SADN code.
%% 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
Predual dictionary learning (PDL) / augmented Lagrangian multi-scale dictionary learning(ALM-DL) [Paper] [Code]
Adaptive dictionary learning in sparse gradient domain for image recovery [Paper] [Code]
Highly undersampled magnetic resonance image reconstruction using two-level Bregman method with dictionary updating [Paper] [Code]
Convolutional Sparse Coding in Gradient Domain for MRI Reconstruction [Paper] [Code]
Field-of-Experts Filters Guided Tensor Completion [Paper] [Code] [Slide]
Sparse and dense hybrid representation via subspace modeling for dynamic MRI [Paper] [Code]
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI [Paper] [Code]
A Comparative Study of CNN-based Super-resolution Methods in MRI Reconstruction and Its Beyond [Paper] [Code]
docker run -it [Image ID] /bin/bash
cd /home/Matlab/SADN-master
matlab -nodesktop -nosplash -r SADN_realvalue_demo
Content type
Image
Digest
Size
15.3 GB
Last updated
about 6 years ago
docker pull optimisticbear/matlabsadn:1.0