Fully updated throughout, with several new chapters, this second edition of Introduction to
Inverse Problems in Imaging guides advanced undergraduate and graduate students in …

We consider a combined restarting and adaptive backtracking strategy for the popular fast
iterative shrinking-thresholding algorithm (FISTA) frequently employed for accelerating the …

Gamma rays emitted from within an object can reveal information about that object in a non-
destructive way, ie without physically opening the object and looking inside. This makes …

This paper studies a new and highly efficient Markov chain Monte Carlo (MCMC)
methodology to perform Bayesian inference in low-photon imaging problems, with particular …

In this paper we present a bilevel optimization scheme for the solution of a general image
deblurring problem, in which a parametric variational-like approach is encapsulated within a …

Minimization problems often occur in modeling phenomena dealing with real-life
applications that nowadays handle large-scale data and require real-time solutions. For …

Significance: Light-field microscopy (LFM) enables high signal-to-noise ratio (SNR) and light
efficient volume imaging at fast frame rates. Voltage imaging with genetically encoded …

We consider a variable metric and inexact version of the fast iterative soft-thresholding
algorithm (FISTA) type algorithm considered in [L. Calatroni and A. Chambolle, SIAM J …

Gradient projection methods represent effective tools for solving large-scale constrained
optimization problems thanks to their simple implementation and low computational cost per …

This paper deals with a general framework for inexact forward--backward algorithms aimed
at minimizing the sum of an analytic function and a lower semicontinuous, subanalytic …