Conditional Generative Adversarial Network Demosaicing Strategy for Division of Focal Plane Polarimeters

Author(s)

Garrett Sargent, Psoas LLCFollow
Bradley M. Ratliff, University of DaytonFollow
Vijayan K. Asari, University of DaytonFollow

Document Type

Article

Publication Date

12-7-2020

Publication Source

Optics Express

Abstract

Division of focal plane (DoFP), or integrated microgrid polarimeters, typically consist of a 2 × 2 mosaic of linear polarization filters overlaid upon a focal plane array sensor and obtain temporally synchronized polarized intensity measurements across a scene, similar in concept to a Bayer color filter array camera. However, the resulting estimated polarimetric images suffer a loss in resolution and can be plagued by aliasing due to the spatially-modulated microgrid measurement strategy. Demosaicing strategies have been proposed that attempt to minimize these effects, but result in some level of residual artifacts. In this work we propose a conditional generative adversarial network (cGAN) approach to the microgrid demosaicing problem. We evaluate the performance of our approach against full-resolution division-of-time polarimeter data as well as compare against both traditional and recent microgrid demosaicing methods. We apply these demosaicing strategies to data from both real and simulated visible microgrid imagery and provide an objective criteria for evaluating their performance. We demonstrate that the proposed cGAN approach results in estimated Stokes imagery that is comparable to full-resolution ground truth imagery from both a quantitative and qualitative perspective.

Inclusive pages

38419-38443

ISBN/ISSN

1094-4087

Document Version

Published Version

Comments

This open-access article is provided for download in compliance with the publisher’s policy on self-archiving. To view the version of record, use the DOI: https://doi.org/1364/OE.412687

Publisher

Optica Publishing Group

Volume

28

Peer Reviewed

yes

Issue

25

eCommons Citation

Sargent, Garrett; Ratliff, Bradley M.; and Asari, Vijayan K., "Conditional Generative Adversarial Network Demosaicing Strategy for Division of Focal Plane Polarimeters" (2020). Electrical and Computer Engineering Faculty Publications. 466.
https://ecommons.udayton.edu/ece_fac_pub/466