Directional Regularization for Image Reconstruction

In this talk, I will introduce a new directional regularization based on the total generalized variation (TGV), which is very useful for applications with strong directional information. I will show that it has the same essential properties as TGV . With automatic direction estimators, we demonstrate the improvement of using directional TGV compared to standard TGV . Numerical simulations are carried out for image restoration and computed tomography reconstruction

• Speaker: Yiqiu Dong (DTU)
• Thursday 24 November 2016, 15:00–16:00
• Venue: MR 14, CMS.
• Series: Applied and Computational Analysis; organiser: Carola-Bibiane Schoenlieb.