Image restoration and segmentation by sparsity promoting energy minimization ← Department of Cybernetics

Buda Bajic presents Image restoration and segmentation by sparsity promoting energy minimization

On 2019-09-05 09:30:00 at G205, Karlovo náměstí 13, Praha 2
Energy minimization approach is widely used in image processing
applications. Many image processing problems can be modeled in a form of
a minimization problem. In this seminar I will talk about two crucial
tasks of image analysis workflows: image restoration and segmentation of
images corrupted by blur and noise. Particularly, I will present novel
image restoration method suited for mixed Poisson-Gaussian noise and
super-resolution coverage segmentation. Both image restoration and
coverage segmentation are modeled as energy minimization problems.

Buda Bajic is finishing a PhD at University of Novi Sad and is considering a
post-doc position at our department in medical image analysis.
Responsible person: Petr Pošík