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In this paper, a new approach to perform compressed sensing MRI (CS-MRI) reconstruction based on enhanced group sparsity and nonconvex regularization (GSNR) is presented. A new framework is developed at attempt to improve the group sparsity and the accuracy of estimated coefficients. To that end, first, we establish a generalized reordering model to train the optimal permutation, which reveals the...
Nonlocally centralized sparse representation (CSR) is an effective approach for estimating original image in noise. In order to promote sparse coefficients more accurate than CSR, we present a new framework where another nonlocal sparsity constraint term is introduced to work with the original term alternatively. To gain the two nonlocal sparsity constraint terms, we classify the image into different...
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