Imaging with a small number of photons

Morris, P. A. and Aspden, R. S. and Bell, J. E.C. and Boyd, R. W. and Padgett, M. J. (2016) Imaging with a small number of photons. [Data Collection]

Original publication URL: http://dx.doi.org/10.1038/ncomms6913
Enlighten Publications URI: http://eprints.gla.ac.uk/id/eprint/101534

Collection description

Low-light-level imaging techniques have application in many diverse fields, ranging from biological sciences to security. A high-quality digital camera based on a multi-megapixel array will typically record an image by collecting of order 105 photons per pixel, but by how much could this photon flux be reduced? In this work we demonstrate a single-photon imaging system based on a time-gated intensified camera from which the image of an object can be inferred from very few detected photons. We show that a ghost-imaging configuration, where the image is obtained from photons that have never interacted with the object, is a useful approach for obtaining images with high signal-to-noise ratios. The use of heralded single photons ensures that the background counts can be virtually eliminated from the recorded images. By applying principles of image compression and associated image reconstruction, we obtain high-quality images of objects from raw data formed from an average of fewer than one detected photon per image pixel.

College / School: College of Science and Engineering > School of Physics and Astronomy
Date Deposited: 02 Jun 2016 11:32
Enlighten Publications URL: http://eprints.gla.ac.uk/101534/
Retention date: 5 January 2025
Funder's Name: Engineering & Physical Sciences Research Council (EPSRC), Engineering & Physical Sciences Research Council (EPSRC)
URI: http://researchdata.gla.ac.uk/id/eprint/320

Available Files

Data

Read me

Repository Staff Only: Update this record

Morris, P. A. and Aspden, R. S. and Bell, J. E.C. and Boyd, R. W. and Padgett, M. J. (2016); Imaging with a small number of photons

University of Glasgow

10.5525/gla.researchdata.320

Retrieved: 2017-11-18

Downloads

Downloads per month over past year