title: Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques.
abstract: In this paper we show how the techniques of image deconvolution can increase the ability of image sensors as, for example, CCD imagers, to detect faint stars or faint orbital objects (small satellites and space debris). In the case of faint stars, we show that this benefit is equivalent to double the quantum efficiency of the used image sensor or to increase the effective telescope aperture by more than 30% without decreasing the astrometric precision or introducing artificial bias. In the case of orbital objects, the deconvolution technique can double the signal-to-noise ratio of the image, which helps to discover and control dangerous objects as space debris or lost satellites. The benefits obtained using CCD detectors can be extrapolated to any kind of image sensors.
authors.affiliation: Departament d'Astronomia i Meteorologia and Institut de Ciències del Cosmos (ICC), Universitat de Barcelona (UB/IEEC), Av. Diagonal 647, 08028 Barcelona, Spain. ofors@am.ub.es
authors.forename: Octavi
authors.initials: O
authors.lastname: Fors
authors.forename: Jorge
authors.initials: J
authors.lastname: Núñez
authors.forename: Xavier
authors.initials: X
authors.lastname: Otazu
authors.forename: Albert
authors.initials: A
authors.lastname: Prades
authors.forename: Robert D
authors.initials: RD
authors.lastname: Cardinal
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D018531:Spacecraft; D055609:Stars, Celestial; D061351:Telescopes