Efficient Convex Optimization Approaches to ... - UCLA Mathematics

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Efficient Convex Optimization Approaches to Variational Image Fusion Jing Yuan1, Brandon Miles1, Juan Shi3, Greg Garvin2, Xue-Cheng Tai3,4, and Aaron Fenster1 1 Medical Imaging Lab, Robarts Research Institute, University of Western Ontario London, Ontario, Canada N6A 5B7 , , 2 Department of Medical Imaging, St Jospeh's HealthCare London, Ontario, Canada Greg.

• medical imaging
• exact optimization
• lagrangian function as lc
• dual model
• image fusion problem
• discrete
• lower memory load
• convex