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Information-based analysis of simple incoherent imaging systems

Summary: Information-based analysis of simple incoherent
imaging systems
Amit Ashok and Mark A. Neifeld
Department of Electrical and Computer Engineering
University of Arizona, Tucson, AZ 85721 USA
Abstract: We present an information-based analysis of three candidate
imagers: a conventional lens system, a cubic phase mask system, and a
random phase mask system. For source volumes comprising relatively
few equal-intensity point sources we compare both the axial and lateral
information content of detector intensity measurements. We include the
effect of additive white Gaussian noise. Single and distributed aperture
imaging is studied. A single detector in each of two apertures using
conventional lenses can yield 36% of the available scene information when
the source volume contains only single point source. The addition of cubic
phase masks yields nearly 74% of the scene information. An identical
configuration using random phase masks offers the best performance with
89% scene information available in the detector intensity measurements.
2003 Optical Society of America
OCIS codes: (110.0110) Imaging systems; (200.3050) Information processing; (220.4830) Op-


Source: Ashok, Amit - Department of Electrical and Computer Engineering, University of Arizona


Collections: Engineering