An Integrated Systems Design Framework for Computational Polarimetry

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.