Single-pixel compressive terahertz 3D imaging
| dc.contributor.author | Ndagijimana, Adolphe | |
| dc.contributor.author | Ederra Urzainqui, Íñigo | |
| dc.contributor.author | Heredia Conde, Miguel | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.date.accessioned | 2025-07-03T10:19:43Z | |
| dc.date.available | 2025-07-03T10:19:43Z | |
| dc.date.issued | 2025-04-24 | |
| dc.date.updated | 2025-07-03T10:01:18Z | |
| dc.description.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. | en |
| dc.description.sponsorship | This work was supported by European Union's Horizon 2020 Research and Innovation Program through Marie Sklodowska-Curie under Grant 860370 and Spanish State Research Agency, under Project PID2023-146064OB-C31. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | 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. | |
| dc.identifier.doi | 10.1109/TCI.2025.3564161 | |
| dc.identifier.issn | 2573-0436 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/54382 | |
| dc.language.iso | eng | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | IEEE Transactions on Computational Imaging (2025), vol. 11 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/860370/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-146064OB-C31/ES/ | |
| dc.relation.publisherversion | https://doi.org/10.1109/TCI.2025.3564161 | |
| dc.rights | © 2025 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Compressed sensing | en |
| dc.subject | Computation imaging | en |
| dc.subject | Depth estimation | en |
| dc.subject | Single-pixel camera | en |
| dc.subject | Terahertz wave imaging | en |
| dc.title | Single-pixel compressive terahertz 3D imaging | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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