Image retrodiction at low light levels

Sonnleitner, M., Jeffers, J. and Barnett, S. M. (2015) Image retrodiction at low light levels. Optica, 2(11), pp. 950-957. (doi: 10.1364/OPTICA.2.000950)

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Imaging technologies working at very low light levels acquire data by counting the number of photons impinging on each pixel. Especially in cases with, on average, less than one photocount per pixel, the resulting images are heavily corrupted by Poissonian noise. To tackle this problem, we use methods from Bayesian statistics to retrodict the spatial intensity distribution responsible for the photocount measurements. Unlike the usual photon-limited image denoising algorithms, we calculate the full probability distributions for the intensities at each pixel. The knowledge of these probability distributions helps to assess the validity of results from image analysis using data corrupted by Poisson noise with low photon-count numbers and dark counts.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Sonnleitner, Dr Matthias and Barnett, Professor Stephen
Authors: Sonnleitner, M., Jeffers, J., and Barnett, S. M.
College/School:College of Science and Engineering > School of Physics and Astronomy
Research Group:Quantum Theory
Journal Name:Optica
Publisher:Optical Society of America
ISSN (Online):2334-2536

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
549871Challenges in Orbital Angular MomentumMiles PadgettEngineering & Physical Sciences Research Council (EPSRC)EP/I012451/1P&A - PHYSICS & ASTRONOMY