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Directional Regularization for Image Reconstruction

Presented by: 
Yiqiu Dong
Thursday 7th September 2017 - 12:00 to 12:50
INI Seminar Room 1
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.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons