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Hierarchical distillation for image compressive sensing reconstruction
2021
Electronics Letters
Compressive sensing (CS) is an effective algorithm for reconstructing images from a small sample of data. CS models combining traditional optimisation-based CS methods and deep learning have been used to improve image reconstruction performance. However, if the sample ratio is very low, the performance of the CS method combined with deep learning will be unsatisfactory. In this letter, a deep learning-based CS model incorporating hierarchical knowledge distillation to improve image
doi:10.1049/ell2.12284
fatcat:42xxjxgpevdfxiuizsezce2n7q