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A new linear transfer theory and characterization method for image detectors. Part I: Theory

Authors
Journal
Ultramicroscopy
0304-3991
Publisher
Elsevier
Volume
115
Identifiers
DOI: 10.1016/j.ultramic.2012.01.012
Keywords
  • Modulation Transfer Function
  • Detection Quantum Efficiency
  • Image Detector
  • Detector Noise
Disciplines
  • Physics

Abstract

Abstract A new generalized linear transfer theory describing the signal and noise transfer in image detectors is presented, which can be applied to calculate the pixelwise first and second statistical moment of arbitrary experimental images including correlation between pixels. Similar to the existing notion of a point spread function describing the transfer of the first statistical moment (the average), a noise spread function is introduced to characterize the spatially resolved transfer and generation of noise (second central moment, covariance). It is also shown that previously used noise characteristics like the noise power spectrum and detection quantum efficiency, derived from plainly illuminated images, contain only partial information of the complete noise transfer.

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