Numerical reconstruction of holograms using inverse problems approaches

Abstract

Several reconstruction approaches based on inverse problems (also called compressive sensing, Bayesian approaches, model fitting) have been proposed recently in digital holography. We demonstrate how such approaches improve hologram reconstruction in various configurations and with diverse object types.