title: Image detection under low-level illumination.
abstract: Image detection under low-light-level conditions is treated as a hypothesis-testing problem in which the observations are modeled as a shot-noise process. Since computing the likelihood ratio for shot-noise processes is not feasible, the use of a one-dimensional test statistic obtained by filtering and sampling the observations is proposed. The filter is chosen to maximize a generalized signal-to-noise ratio. The likelihood ratio for the one-dimensional test statistic is evaluated numerically by inverting the corresponding characteristic function under each hypothesis.
authors.affiliation: Dept. of Electr. and Comput. Eng., Wisconsin Univ., Madison, WI.
authors.forename: R E
authors.initials: RE
authors.lastname: Sequeira
authors.forename: J A
authors.initials: JA
authors.lastname: Gubner
authors.forename: B A
authors.initials: BA
authors.lastname: Saleh