Noise reduction in SEM video signals

Linear filtering methods of noise reduction in SEM video signals are discussed. It is shown that time-averaging filters distort and corrupt the signal to obtain optimum signal to noise ratio. Ensemble averaging filters are demonstrated as the better, since no signal distortion occurs. Two types of ensemble averaging filters suitable for the SEM are discussed and experimental results in the form of line-scans are presented.