Alternating minimization algorithm based optimization method for Total Variation

Series
ACO Student Seminar
Time
Friday, February 1, 2013 - 1:00pm for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Hyenkyun Woo – CSE, Georgia Tech – hyenkyun.woo@cc.gatech.edu
Organizer
Cristóbal Guzmán
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).