Regularized Image Reconstruction for Nonlinear Diffractive ImagingMS11

Multiple scattering of light as it passes through an object is a fundamental problem that limits the performance of current material imaging systems. From the perspective of imaging inverse problems, multiple scattering leads to nonlinear forward models that generally lead to intractable optimization problems. In this talk, we will discuss recent advances for designing optimization schemes that can account for multiple scattering while also accommodating model-based priors for imaging.

This presentation is part of Minisymposium “MS11 - Computational Imaging for Micro- and Nano-structures in Materials Science (2 parts)
organized by: Brendt Wohlberg (Los Alamos National Laboratory) , Jeff Simmons (Air Force Research Laboratory) .

Ulugbek Kamilov (Washington University in St. Louis)
Brendt Wohlberg (Los Alamos National Laboratory)
Hassan Mansour (Mitsubishi Electric Research Laboratories (MERL))
image reconstruction, nonlinear optimization