Image retrodiction at low light levels

Sonnleitner, Matthias and Jeffers, John and Barnett, Stephen M. (2015) Image retrodiction at low light levels. Optica, 2 (11). pp. 950-957. ISSN 1899-7015 (https://doi.org/10.1364/OPTICA.2.000950)

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Abstract

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.

ORCID iDs

Sonnleitner, Matthias, Jeffers, John ORCID logoORCID: https://orcid.org/0000-0002-8573-1675 and Barnett, Stephen M.;
  • Item type:Article
    ID code:88924
    Dates:
    Date
    Event
    4 November 2015
    Published
    28 September 2015
    Accepted
    Subjects:Science > Physics
    Department:Faculty of Science > Physics
    Depositing user: Pure Administrator
    Date deposited:23 Apr 2024 11:48
    Last modified:11 Nov 2024 11:20
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/88924
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