## Detection and estimation of an optical image by photon-counting techniques |

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### Contents

Image formation and photoncounting | 8 |

Distribution of the photoelectrons from | 26 |

neighborhood areas when TW 1 | 30 |

12 other sections not shown

### Common terms and phrases

aperture approximated asymptotic expansion series average error probability average number background light Bayes estimate Bayes strategy binary bits detection binary detection calculated complex phase conditional probability cost functions counting comparator Curves are indexed decision level detection and estimation detection probability detection theory discrete random variable erfc error probability Pg evaluated false-alarm probability Qq gamma distribution given Helstrom ideal detector image plane integral level g light also passes likelihood ratio located Mandel mean and variance mean number mislocation moment-generating function Neyman-Pearson criterion number of photoelectrons object light observation area observation interval optimum detector optimum statistic parabolic image photoelectric detector photoelectrons ejected photoelectrons emitted photon-counting techniques photosensitive surface plotted point sources Poisson distribution Q(ZQ random variable saddle point Sq signal-to-noise ratio simple detector small areas statistic g statistically independent steepest descent tail distribution threshold detector total number weighting function written