An Integrated Systems Design Framework for Computational Polarimetry

Shahid Haider, Farnoud Kazemzadeh, David Clausi, Alexander Wong


In this study, we propose and implement an integrated systems
design framework for computational polarimetry. This framework
leverages knowledge of the optical elements to aid in the design of
the polarimetry instrumentation and the enhancement of the measurements.
This framework incorporates the use of spatial detector
arrays, and models the non-ideal performance of the optical components,
providing error bounds that can decrease the cost of the
system depending on the accuracy needed. Noise modelling is incorporated,
as well, in the measurement formation models. The
framework is demonstrated in the design of a computational polarimetry
system for a glucose concentration estimation.

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