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Proceedings Paper

Object Reconstruction From Photon-Limited Centroided Data Of Randomly Translating Images
Author(s): L. C. de Freitas; M. Northcott; B. J. Brames; J. C. Dainty
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Paper Abstract

Centroiding is investigated as a simple and computationally fast technique of image reconstruction, at low light level, of a randomly translating image. The detected frames are sorted by their number of photons, centroided, separated averages performed and then compared with the usual way of centroiding frames. An algorithm for retrieving the phase for one-dimensional centroided imaging is presented and computer simulated data is used to test the theory and the reconstruction technique.

Paper Details

Date Published: 29 January 1988
PDF: 11 pages
Proc. SPIE 0828, Digital Image Recovery and Synthesis, (29 January 1988); doi: 10.1117/12.942080
Show Author Affiliations
L. C. de Freitas, Imperial College (United Kingdom)
M. Northcott, Imperial College (United Kingdom)
B. J. Brames, Imperial College (United Kingdom)
J. C. Dainty, Imperial College (United Kingdom)


Published in SPIE Proceedings Vol. 0828:
Digital Image Recovery and Synthesis
Paul S. Idell, Editor(s)

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