Microlocally inspired mask-shaped filters let ΨDONet match or slightly improve limited- and sparse-angle CT reconstructions with far fewer learnable parameters.
Modern regularization methods for inverse problems
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Revisiting $\Psi$DONet: microlocally inspired filters for incomplete-data tomographic reconstructions
Microlocally inspired mask-shaped filters let ΨDONet match or slightly improve limited- and sparse-angle CT reconstructions with far fewer learnable parameters.