Fundamental problems and tools | |
Inverse problems, ill-posed problems | |
Main approaches to the regularization of ill-posed problems | |
Inversion within the probabilistic framework | |
Deconvolution | |
Inverse filtering and other linear methods | |
Deconvolution of spike trains | |
Deconvolution of images | |
Advanced problems and tools | |
Gibbs-Markov image models | |
Unsupervised problems | |
Some applications | |
Deconvolution applied to ultrasonic non-destructive evaluation | |
Inverse problems in optical imaging through atmospheric turbulence | |
Spectral characterization in ultrasonic Doppler velocimetry | |
Tomographic reconstruction from few projections | |
Diffraction tomography | |
Imaging from low-intensity data | |
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