3 papers
math.OC2020
Fast Proximal Gradient Methods for Nonsmooth Convex Optimization for Tomographic Image Reconstruction
Elias S. Helou, Marcelo V. W. Zibetti, Gabor T. Herman
The Fast Proximal Gradient Method (FPGM) and the Monotone FPGM (MFPGM) for minimization of nonsmooth convex functions are introduced and applied to tomographic image reconstruction…
math.OC2019
Derivative-Free Superiorization: Principle and Algorithm
Yair Censor, Edgar Garduño, Elias S. Helou +1
The superiorization methodology is intended to work with input data of constrained minimization problems, that is, a target function and a set of constraints. However, it is based…
cs.GR2019
The Discrete Fourier Transform for Golden Angle Linogram Sampling
Elias S. Helou, Marcelo V. W. Zibetti, Leon Axel +3
Estimation of the Discrete-Time Fourier Transform (DTFT) at points of a finite domain arises in many imaging applications. A new approach to this task, the Golden Angle Linogram Fo…