Learning-based single-shot superresolution in diffractive imaging

Appl Opt. 2017 Nov 10;56(32):8896-8901. doi: 10.1364/AO.56.008896.

Abstract

We present a method of retrieving a superresolved object field from a single captured intensity image in diffraction-limited diffractive imaging based on machine learning. In this method, the inverse process of diffractive imaging is regressed by using a number of pairs, each consisting of object and captured images. The proposed method is experimentally demonstrated by using a lensless imaging setup with or without scattering media.