New methods are described for forming intensity estimates of randomly moving objects from quantum-limited data. These methods assume a preprocessed data set consisting of photon differences. Image estimates are formed with the use of the method of maximum likelihood. Algorithms for recovering an image from a measurement of its autocorrelation or triple correlation are derived by considering the limit as the photoconversion rate tends toward infinity.
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Schulz et al. (1991) studied this question.
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