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Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization., , , , and . CoRR, (2016)Fast image deconvolution using closed-form thresholding formulas of regularization., , and . J. Vis. Commun. Image Represent., 24 (1): 31-41 (2013)Proximal PanNet: A Model-Based Deep Network for Pansharpening., , and . AAAI, page 176-184. AAAI Press, (2022)Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 36 (12): 2546-2556 (2017)Local-and-Nonlocal Spectral Prior Regularized Tensor Recovery for Cauchy Noise Removal., , and . Signal Process., (December 2023)A Novel Sparsity Measure for Tensor Recovery., , , , , , and . ICCV, page 271-279. IEEE Computer Society, (2015)A 0.64mm2Sensor Size, 32.5μg/√Hz Noise Floor, High Efficiency MEMS Capacitive Accelerometer Using High-Voltage Pulse Excitation Technique., , , , , , and . CICC, page 1-2. IEEE, (2024)Convergence of multi-block Bregman ADMM for nonconvex composite problems., , and . Sci. China Inf. Sci., 61 (12): 122101:1-122101:12 (2018)Hyperspectral Image Denoising With Weighted Nonlocal Low-Rank Model and Adaptive Total Variation Regularization., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Folded-concave penalization approaches to tensor completion., , , , , and . Neurocomputing, (2015)