Mathematics – Probability
Scientific paper
Sep 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994a%26a...289l..51c&link_type=abstract
Astronomy and Astrophysics (ISSN 0004-6361), vol. 289, no. 3, p. L51-L53
Mathematics
Probability
1
Astronomy, Autocorrelation, Counting, Detection, Faint Objects, Image Processing, Photons, Analysis Of Variance, Computerized Simulation, Pixels, Probability Density Functions
Scientific paper
Many existing photon-limited image detectors are not able to distinguish whether a photo-event in one pixel comes from single or multiple events, and the output of such devices consists only a series of binary values denoting presence or absence of counts in each pixel. The counts are therefore clipped, and this leads to a hole in the Autocorrelation estimate that must be removed for image recovery applications. In this letter, two methods to obtain the Autocorrelation central value from clipped photon-counting data are presented. They are based on the statistical analysis of the total number of counts in one frame. One of the methods requires a smaller number of frames to provide good statistical accuracy while the other has a wider intensity range of applicability.
Cagigal Manuel P.
Prieto P.
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