Demosaicing DoFP imaging polarimeter data from non-conventional modulation strategies

Bradley M. Ratliff; Garrett C. Sargent

doi:10.1117/12.2619137

3 June 2022 Demosaicing DoFP imaging polarimeter data from non-conventional modulation strategies

Proceedings Volume 12112, Polarization: Measurement, Analysis, and Remote Sensing XV; 1211205 (2022) https://doi.org/10.1117/12.2619137
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Over the past decade, a large body of work has demonstrated improved designs over the conventional 2×2 modulation scheme (based upon polarizer orientation angles of {0, 90, 45, 135}o) used in the manufacture of DoFP polarimeters. These designs show better usage of bandwidth and reduction of crosstalk across the various linear Stokes vector channels in the frequency domain. While much focus has been on the development of optimal modulation schemes for these devices, little attention has been given to the development of corresponding demosaicing strategies for these modulators. In this work, we adapt a recent demosaicing strategy based upon a conditional generative adversarial network (cGAN) developed for conventional 2×2 DoFP sensors to accommodate alternative modulation schemes. We collect full-resolution polarized intensity data at non-conventional polarizer angles using a division-of-time (DoT) visible imaging polarimeter that we use to simulate DoFP data from alternative modulators for training and testing purposes. We then assess performance across these alternative modulation strategies and compare results against the conventional modulation scheme.

Conference Presentation

Citation Download Citation

Bradley M. Ratliff and Garrett C. Sargent "Demosaicing DoFP imaging polarimeter data from non-conventional modulation strategies", Proc. SPIE 12112, Polarization: Measurement, Analysis, and Remote Sensing XV, 1211205 (3 June 2022); https://doi.org/10.1117/12.2619137

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