3-D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach
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DOI: 10.1109/tsp.2022.3201330
Abstract: Various image datasets appear naturally in the form of multi-dimensional arrays (hypermatrices), called tensors. Image with incomplete entries, which often can be formulated as the low-rank tensor completion problem, is practically important in order to… read more here.
Keywords: rank; tensor; nonconvex regularization; regularization approach ... See more keywords