Coded Aperture Ptychography: Uniqueness and Reconstruction

Abstract

Uniqueness of solution is proved for any ptychographic scheme with a random masks under a minimum overlap condition and local geometric convergence analysis is given for the alternating projection (AP) and Douglas-Rachford (DR) algorithms. DR is shown to possess a unique fixed point in the object domain and for AP a simple criterion for distinguishing the true solution among possibly many fixed points is given. A minimalist scheme is proposed where the adjacent masks overlap 50\% of area and each pixel of the object is illuminated by exactly four times during the whole measurement process. Such a scheme is conveniently parametrized by the number $q$ of shifted masks in each direction. The lower bound $1-C/q^2$ is proved for the geometric convergence rate of the minimalist scheme, predicting a poor performance with large $q$ which is confirmed by numerical experiments. Extensive numerical experiments are performed to explore what the general features of a well-performing mask are like, what the best-performing values of $q$ for a given mask are, how robust the minimalist scheme is with respect to measurement noise and what the significant factors affecting the noise stability are.