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Detection in image dependent noise (Corresp.)

By: Cunningham, D.; Barrett, E.; Laramore, R.;

1976 / IEEE


This item was taken from the IEEE Periodical ' Detection in image dependent noise (Corresp.) ' 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{\sl a priori}knowledge of the noise and imaging system. The general results are applied to Poisson noise, signal dependent Gaussian noise, and binomial noise.