Browse by Subject "dictionary learning"
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(2015-01-21)Natural images have the intrinsic property that they can be sparsely represented as a linear combination of a very small number of atomic signals from a complete basis or an overcomplete dictionary. This sparse representation ...
Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning (2011-01-21)Compressed sensing (CS) utilizes the sparsity of MR images to enable accurate reconstruction from undersampled k-space data. Recent CS methods have employed analytical sparsifying transforms such as wavelets, curvelets, ...