Single-pixel and ghost imaging

Why? (The Short Story)

Single-pixel systems have larger applicability and lower (relative) cost to specialised focal plane array detectors. The motivation within this wider field is to explore compressed sensing and pattern sets to efficiently image and/or challenge current limits (of speed, resolution, etc.). Achieving this will create more efficient methods of higher resolution imaging with a single setup.

The Long(er) Story

Single-pixel imaging (also referred to as ghost imaging in some cases) has evolved as an exciting alternative to focal-plane detector arrays. While detector arrays remain relevant and effective, the advantages of single-pixel systems cannot be denied. The advantages of wavelength independence and the ability to achieve compressed sensing in many domains open up avenues of research previously not accessible due to costs or systems’ complexity.

In our research, we are interested in exploring different pattern sets and setups to achieve high-resolution imaging, while investigating the applications of these systems to different research and real-world problems.

Relevant Publications and Datasets

Kallepalli A., Viani L., Stellinga D., Rotunno E., Bowman R., Gibson G. M., Sun M-J., Rosi P., Frabboni S., Balboni R., Migliori A., Grillo V., Padgett M. J.
Challenging point scanning across electron microscopy and optical imaging using computational imaging. Intelligent Computing (Science Partner Journal).
Accepted, In Press (2022)

Kallepalli A. et al., Computational ghost imaging for transmission electron microscopy (2022)
Preprint Access

Kallepalli A. et al., Ghost imaging with electron microscopy inspired, non-orthogonal phase masks (2021)
Preprint Access

Kallepalli A. et al., Single-pixel imaging pattern sets and their implications on scene reconstruction. Proc. SPIE 11881, Quantum Technology: Driving Commercialisation of an Enabling Science II, 118810X (6 October 2021); DOI: 10.1117/12.2601228

Kallepalli A., Innes J., Padgett M. J, Compressed sensing in the far-field of the spatial light modulator in high noise conditions. Scientific Reports 11, 17460 (2021); DOI: 10.1038/s41598-021-97072-2

Kallepalli A., and Padgett M. J. (2021); Single-pixel imaging and compressed sensing in the far-field of the spatial light modulator, University of Glasgow, DOI: 10.5525/gla.researchdata.1133