Super-Resolution and Reconstruction of Sparse Sub-Wavelength Images

TL;DR

This paper demonstrates how compressed sensing can theoretically and experimentally enable the reconstruction of sub-wavelength features from far-field measurements, with potential applications in non-optical microscopy.

Contribution

It introduces a method for super-resolution imaging using compressed sensing, applicable to sparse signals in non-optical microscopy.

Findings

Theoretically shows sub-wavelength reconstruction from far-field data.

Provides experimental proof-of-concept for the method.

Applicable to non-optical microscopes with sparse information.

Abstract

We use compressed sensing to demonstrate theoretically the reconstruction of sub-wavelength features from measured far-field, and provide experimental proof-of-concept. The methods can be applied to non-optical microscopes, provided the information is sparse.