Abstract
Statistically optimal algorithms using the Neumann-Pearson criterion for estimating the spatial position of pulse noise with a white Gaussian brightness distribution on images have been synthesized, consisting of minimizing the pass-noise probability at a given false-alarm probability and the false-alarm probability at a fixed pass level. Results are presented for numerical studies of the synthesized algorithms, indicating their advantages over known nonoptimal algorithms.
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