Inverse Synthetic Aperture Fourier Ptychography

TL;DR

This paper introduces a novel Fourier ptychography technique that uses target motion and a learning-based method to achieve high-resolution imaging without changing illumination angles or camera positions, simplifying the acquisition process.

Contribution

It proposes a new approach to Fourier ptychography that eliminates the need for changing illumination or camera position, using target motion and a learning-based k-space estimation.

Findings

Successfully validated in simulation and on a tabletop optical system.

Achieved high-resolution, wide field-of-view imaging with simplified data acquisition.

Demonstrated effective k-space coordinate estimation from dual-plane intensity measurements.

Abstract

Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allows one to reconstruct a high-resolution, wide field-of-view image by computationally integrating a diverse collection of low-resolution, far-field measurements. Typically, FP measurement diversity is introduced by changing the angle of the illumination or the position of the camera; either approach results in sampling different portions of the target's spatial frequency content, but both approaches introduce substantial costs and complexity to the acquisition process. In this work, we introduce Inverse Synthetic Aperture Fourier Ptychography, a novel approach to FP that foregoes changing the illumination angle or camera position and instead generates measurement diversity through target motion. Critically, we also introduce a novel learning-based method for estimating k-space coordinates from dual plane intensity measurements, thereby enabling synthetic aperture imaging without knowing the rotation of the target. We experimentally validate our method in simulation and on a tabletop optical system.