The reasons for applying nonlinear filters to Poisson distributed processes are discussed. The statistical char-acteristics of several scanning window order statistic filter outputs are derived and analyzed for different pa-rameters of input processes and filters. Basic dependen-cies are obtained analytically and by numerical simula-tions and then studied. In particular, it is demonstrated that nonlinear filters produce biased outputs.