Numerical Analysis of Lensless Imaging with Active Metasurfaces and Single-Pixel Detectors

TL;DR

This paper presents a theoretical and simulation-based analysis of a lensless imaging system using active metasurfaces and single-pixel detectors, exploring fundamental limits, system performance, and image correction techniques.

Contribution

It introduces a novel framework for lensless imaging with active metasurfaces, analyzing performance bounds, and demonstrating image reconstruction and correction strategies.

Findings

Fundamental limits in information collection are established.

Simulation shows effective image recovery with aberration correction.

Trade-offs between acquisition time and image quality are identified.

Abstract

We introduce a conceptual framework for a lensless imaging system which employs an active metasurface as a high-frequency, continuously tunable amplitude and phase modulation aperture, coupled to a discrete single-pixel detector. Using an array factor formalism, we first study fundamental limits in information collection, offering a comparison to existing technologies. We also study the effects of modulation rate and losses on the system acquisition time and signal-to-noise ratio, which place bounds on system performance for set illumination conditions. Considering both an ideal metasurface and the phase and amplitude modulation characteristics of an experimentally realized indium tin oxide-based metasurface operating at 1510 nm, we then simulate image recovery with ~60,000 image points for a 0.2 mm x 0.2 mm active metasurface aperture. We show that aberrations appearing in the simulated images produced by the metasurface can be corrected through post-processing. We further investigate trade-offs between image acquisition time and image quality both through the realization of Hadamard coupling bases and by modifying the k-space width coupling to the detector. Finally, we discuss the technical challenges which remain to be overcome for experimental realization of a lensless single-pixel imaging technology.