Unsighted deconvolution ghost imaging

TL;DR

This paper introduces a novel ghost imaging scheme that can non-invasively image objects through turbid media without prior knowledge of illumination patterns, using phase retrieval to reconstruct the image.

Contribution

It demonstrates a method to perform ghost imaging without knowing incident patterns, enabling imaging through turbid media with phase retrieval techniques.

Findings

Spatial frequency of the object is preserved despite scrambling.

The method successfully reconstructs images through turbid media.

Phase retrieval algorithms enable image reconstruction without pattern knowledge.

Abstract

Ghost imaging (GI) is an unconventional imaging method that retrieves the image of an object by correlating a series of known illumination patterns with the total reflected (or transmitted) intensity. We here demonstrate a scheme which can remove the basic requirement of knowing the incident patterns on the object, enabling GI to non-invasively image objects through turbid media. As an experimental proof, we project a set of patterns towards an object hidden inside turbid media that scramble the illumination, making the patterns falling on the object completely unknown. We theoretically prove that the spatial frequency of the object is preserved in the measurement of GI, even though the spatial information of both the object and the illumination is lost. The image is then reconstructed with phase retrieval algorithms.