A Neural-Network-Based Convex Regularizer for Image Reconstruction.
Alexis GoujonSebastian NeumayerPakshal BohraStanislas DucotterdMichael UnserPublished in: CoRR (2022)
Keyphrases
- image reconstruction
- reconstructed image
- compressed sensing
- super resolution
- radon transform
- emission computed tomography
- inverse problems
- reconstruction method
- computed tomography
- maximum a posteriori
- semi supervised
- convex optimization
- convex hull
- total variation
- zernike moments
- emission tomography
- image reconstruction algorithms
- tomographic reconstruction
- regularization term
- loss function
- random projections
- positron emission tomography
- computational complexity