CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization
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Publication:3188219
DOI10.1137/16M105928XzbMath1343.92272arXiv1601.00811OpenAlexW2963673150MaRDI QIDQ3188219
Publication date: 17 August 2016
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1601.00811
Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Numerical methods for variational inequalities and related problems (65K15)
Related Items (9)
Data-Driven Tight Frame Construction for Impulsive Noise Removal ⋮ Template-based CT reconstruction with optimal transport and total generalized variation ⋮ A nonconvex truncated regularization and box-constrained model for CT reconstruction ⋮ A review on deep learning in medical image reconstruction ⋮ Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization ⋮ A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction ⋮ PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization ⋮ An accelerated smoothing gradient method for nonconvex nonsmooth minimization in image processing ⋮ On a general smoothly truncated regularization for variational piecewise constant image restoration: construction and convergent algorithms
Uses Software
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