19 citations · 66 across the 12 of their papers we have counts for
4 papers · 1 filter
Unbiased Bregman-Risk Estimators: Application to Regularization Parameter Selection in Tomographic Image Reconstruction
Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões
Unbiased estimators are introduced for averaged Bregman divergences which generalize Stein's Unbiased (Predictive) Risk Estimator, and the minimization of these estimators is propo…
Superiorization of Preconditioned Conjugate Gradient Algorithms for Tomographic Image Reconstruction
Elias S. Helou, Gabor T. Herman, Chuan Lin +1
Properties of Superiorized Preconditioned Conjugate Gradient (SupPCG) algorithms in image reconstruction from projections are examined. Least squares (LS) is usually chosen for mea…
Phase-Retrieval as a Regularization Problem
Eduardo X. Miqueles, Nathaly L. Archilha, Marcelo R. Dos Anjos +2
It was recently shown that the phase retrieval imaging of a sample can be modeled as a simple convolution process. Sometimes, such a convolution depends on physical parameters of t…
Fast Backprojection Techniques for High Resolution Tomography
Nikolay Koshev, Elias S. Helou, Eduardo X. Miqueles
Fast image reconstruction techniques are becoming important with the increasing number of scientific cases in high resolution micro and nano tomography. The processing of the large…