Image detection under low-level illumination.
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.
Sequeira
R E
RE
Dept. of Electr. and Comput. Eng., Wisconsin Univ., Madison, WI.
Gubner
J A
JA
Saleh
B A
BA