Mean Gradient Descent Algorithm for Single-Shot Interferogram Analysis

摘要

We present a new optimization approach of 'Mean Gradient Descent (MGD)' for single-shot interferogram analysis. In this methodology, the guess solution progresses iteratively with straightforward algebraic steps. MGD provides efficient complex-valued object recovery with full pixel resolution from an interferogram of step phase object and on-axis spherical reference beam. The MGD iteration does not require any empirical tuning of free parameters and computationally expensive operation of line search.