Relatore:
Mauro Dalla Mura
- INP Grenoble
giovedì 9 aprile 2026
alle ore
10.30
Aula H (see full schedule)
This course introduces image reconstruction through theoretical and practical sessions. Participants will study image formation and degradation models, classical and learning-based reconstruction methods, and hybrid approaches such as Plug-and-Play, algorithm unrolling, and deep priors. Lectures and laboratory sessions provide a comprehensive overview of traditional and modern techniques for image reconstruction.
- 9 April 10:30 - 12:30, Room H: Introduction, image formation model, image degradations models and causes, problem formulation.
- 10 April 10:30-12:30, Room I: Introduction to image reconstruction methods.
- 13 April 12:30- 14:30, Room H: Model-based and learning based approaches.
- 14 April 10:30- 12:30, Aula I: Image reconstruction based on machine learning.
- 15 April 08:30- 10:30, Sala Riunion 2nd floor: Hybrid approaches (Plug&Play, Algorithm unrolling, Deep priors...).
- 16 April 10:30 - 12:30, Room H: Hybrid image reconstruction methods.
Further information: giacomo.albi@univr.it and giandomenico.orlandi@univr.it
