Image Detection in Signal Dependent Noise

• Main Authors: Cunningham, D. R., Laramore, R. D., Barrett, E.
• Other Authors: University of Missouri-Rolla
• Language: en_US
• Published: International Foundation for Telemetering 1975
• Online Access: http://hdl.handle.net/10150/609300; http://arizona.openrepository.com/arizona/handle/10150/609300

International Telemetering Conference Proceedings / October 14-16, 1975 / Sheraton Inn, Silver Spring, Maryland === The detection of two dimensional optical signals which have been corrupted by noise is considered. Discussion is limited to the detection of a known object in a known location. The problem is approached from the classical statistical technique of hypothesis testing. Initially the solution is formulated in very general terms. The decision rule is derived for a signal distorted by noise of an unspecified type which may include signal dependent noise. Once the decision rule is obtained, the probabilities of false alarm and detection are evaluated from a priori knowledge of the noise and imaging system. The general results are applied to Poisson noise and signal dependent Gaussian noise.