Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques

Octavi Fors, Jorge Núñez, Xavier Otazu, Albert Prades, Robert D. Cardinal

Research output: Contribution to journalArticleResearchpeer-review

10 Citations (Scopus)

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. © 2010 by the authors.
Original languageEnglish
Pages (from-to)1743-1752
JournalSensors
Volume10
Issue number3
DOIs
Publication statusPublished - 1 Mar 2010

Keywords

  • Faint stars
  • Image deconvolution
  • Image processing
  • Space debris
  • Wavelet transform

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