Characterizing metasurfaces for polarization demultiplexing: an imaging reconstruction using Stokes parameters

Anirban Swakshar; Cooper Coldwell; Karsten Schnier; Sevgi Gurbuz; Seongsin Margaret Kim; Patrick Kung

doi:10.1117/12.3014055

7 June 2024 Characterizing metasurfaces for polarization demultiplexing: an imaging reconstruction using Stokes parameters

Anirban Swakshar, Cooper Coldwell, Karsten Schnier, Sevgi Gurbuz, Seongsin Margaret Kim, Patrick Kung

Author Affiliations +

Proceedings Volume 13030, Image Sensing Technologies: Materials, Devices, Systems, and Applications XI; 1303009 (2024) https://doi.org/10.1117/12.3014055
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Polarimetry is pivotal in analyzing light's polarization properties, with vast potential in areas like remote sensing, material analysis, biological imaging, medical diagnostics, and defense. Metasurfaces, finely engineered to control light's phase, amplitude, and polarization, present an innovative platform to augment polarized light examination. This study delves into the design, fabrication, and practical demonstration of these metasurfaces, showcasing their use in polarization demultiplexing and subsequent imaging reconstruction. Experimentally, we used metasurfaces to observe an underwater scene under varied polarized light sources. This allows the selective capture of distinct polarizations simultaneously, elevating the accuracy of polarimetric measurements. A more in-depth discussion on image reconstruction via Stokes parameters is provided.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Anirban Swakshar, Cooper Coldwell, Karsten Schnier, Sevgi Gurbuz, Seongsin Margaret Kim, and Patrick Kung "Characterizing metasurfaces for polarization demultiplexing: an imaging reconstruction using Stokes parameters", Proc. SPIE 13030, Image Sensing Technologies: Materials, Devices, Systems, and Applications XI, 1303009 (7 June 2024); https://doi.org/10.1117/12.3014055

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