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A Tensor Factorization Method for 3-D Super Resolution With Application to Dental CT

A Tensor Factorization Method for 3-D Super Resolution With Application to Dental CT

Available super-resolution techniques for 3D images are either computationally inefficient prior-knowledge-based iterative techniques or deep learning methods which require a large database of known low- and high-resolution image pairs. A recently introduced tensor-factorization-based approach offers a fast solution without the use of known image pairs or strict prior assumptions. In …