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Image detection under low-level illumination

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3 Author(s)
Sequeira, R.E. ; Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA ; Gubner, J.A. ; Saleh, B.E.A.

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

Published in:

Image Processing, IEEE Transactions on  (Volume:2 ,  Issue: 1 )