Super-resolution far-field ghost imaging via compressive sampling

TL;DR

This paper demonstrates a method for achieving super-resolution in far-field ghost imaging by combining compressive sampling with the sparse prior of images, enabling nonlocal super-resolution without direct object observation.

Contribution

It introduces a novel approach that combines ghost imaging with compressive sampling to achieve super-resolution beyond the diffraction limit.

Findings

Super-resolution imaging achieved nonlocally in the far field.

Experimental validation of super-resolution ghost imaging.

Discussion of physical mechanisms and potential applications.

Abstract

Much more image details can be resolved by improving the system's imaging resolution and enhancing the resolution beyond the system's Rayleigh diffraction limit is generally called super-resolution. By combining the sparse prior property of images with the ghost imaging method, we demonstrated experimentally that super-resolution imaging can be nonlocally achieved in the far field even without looking at the object. Physical explanation of super-resolution ghost imaging via compressive sampling and its potential applications are also discussed.