Alternating minimization algorithm based optimization method for Total Variation

ACO Student Seminar
Friday, February 1, 2013 - 13:00
1 hour (actually 50 minutes)
Skiles 005
CSE, Georgia Tech
 In this talk, we are going to introduce Linearized Proximal Alternating Minimization Algorithm and its variants for total variation based variational model. Since the proposed method does not require any special inner solver (e.g. FFT or DCT),  which is quite often required in augmented Lagrangian based approach (ADMM), it shows better performance for large scale problems. In addition, we briefly introduce new regularization method (nonconvex higher order total variation).