Single-pixel compressive terahertz 3D imaging

Date

2025-04-24

Director

Publisher

IEEE
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • European Commission/Horizon 2020 Framework Programme/860370/
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-146064OB-C31/ES/ recolecta
Impacto
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No disponible en Scopus

Abstract

Terahertz (THz) imaging contends with the lack of cost-effective, off-the-shelf high-resolution array detectors and the slow acquisition speeds associated with pixel-by-pixel raster scanning. Single-pixel imaging with Compressive Sensing (CS) represents a potential solution for resolution and acquisition speed in a cost-efficient manner. Our paper introduces a novel approach for extending 2D single-pixel THz imaging systems to 3D using a single frequency. By leveraging the single-pixel approach, we achieve 3D resolution while avoiding mechanical scanning, and the use of a single frequency eliminates the need for bandwidth, a significant limitation of conventional techniques, where design of THz sources and detectors with large bandwidth remains challenging and typically complex. The Order Recursive Matching Pursuit (ORMP) algorithm is used as the sparse recovery method to exploit the sparsity/compressibility of the 3D THz signal and enable sampling at a rate far lower than that required by the Nyquist Theorem. The 2D sensing matrix is obtained by analyzing the diffracted propagation of THz imaging systems on a 2D surface perpendicular to the optical axis. Moreover, the 3D sensing matrix is based on the diffracted propagation of 2D surfaces at different sampling depth positions. Our system can quickly capture the reflective properties of every point in a 3D space using a single-pixel camera setup that leverages CS, making it a simple and efficient method for creating a fast 3D THz imaging system, particularly suited to high-frequency THz sources that operate efficiently at a single frequency or at small bandwidth.

Description

Keywords

Compressed sensing, Computation imaging, Depth estimation, Single-pixel camera, Terahertz wave imaging

Department

Ingeniería Eléctrica, Electrónica y de Comunicación / Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

item.page.cita

Ndagijimana, A., Ederra, I., Heredia Conde, M. (2025). Single-pixel compressive terahertz 3D imaging. IEEE Transactions on Computational Imaging, 11, 570-585. https://doi.org/10.1109/TCI.2025.3564161.

item.page.rights

© 2025 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License.

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