Imaging with a small number of photons

By P. Morris, R. Aspden, Jessica Bell, R. W. Boyd, Miles J. Padgett. Nature Communications, 2014

444 citations recorded by the source corpus.

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. Advances in low-light-level imaging techniques have shown that imaging in the one photon per pixel regime is possible. Here, Morris et al. demonstrate high-quality image reconstruction using ghost and heralded imaging with less than one photon per image pixel with a time-gated intensified camera.

Subfields: Acoustics and Ultrasonics, Artificial Intelligence, Media Technology

View Paper: https://www.semanticscholar.org/paper/a8c9733c52546bdd1faf11fe5973d91546e45c42

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Acoustics and Ultrasonics

  1. P. Moreau
  2. T. Gregory
  3. E. Toninelli
  4. Miles J. Padgett
  5. Warwick P. Bowen
  6. Andrew Forbes
  7. Michael A. D. Taylor

In Artificial Intelligence

  1. C. Rosales-Guzmán
  2. Andrew Forbes
  3. Robert Fickler
  4. P. Moreau
  5. T. Gregory
  6. E. Toninelli
  7. Lorenzo Marrucci
  8. Warwick P. Bowen

In Media Technology

  1. Warwick P. Bowen
  2. Michael A. D. Taylor

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