Title :
Image detection under low-level illumination
Author :
Sequeira, Raúl E. ; Gubner, John A. ; Saleh, Bahaa E A
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
1/1/1993 12:00:00 AM
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
Keywords :
filtering and prediction theory; image processing; random noise; filtering; generalized signal-to-noise ratio; hypothesis-testing problem; image detection; likelihood ratio; low-level illumination; low-light-level conditions; one-dimensional test statistic; sampling; shot-noise process; Face detection; Filtering; Image sampling; Lighting; Nonlinear filters; Optical imaging; Random variables; Signal to noise ratio; Statistical analysis; Testing;
Journal_Title :
Image Processing, IEEE Transactions on
