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Future Trends in Terahertz Sensing and Imaging
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Future Trends in Terahertz Sensing and Imaging

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 2248

Special Issue Editors

Dr. Patrice Genevet

E-Mail Website
Guest Editor
Centre de Recherche sur l’Hétéro-Epitaxie et ses Application, CNRS, Rue Bernard Gregory, Sophia-Antipolis, 06560 Valbonne, France
Interests: plasmonics; metasurfaces; transformation optics; semiconductors
Special Issues, Collections and Topics in MDPI journals
Dr. Elodie Strupiechonski

E-Mail Website
Guest Editor
Center for Engineering and Technological Development (CIDESI), Queretaro 76130, Mexico
Interests: Terahertz science and technology
Dr. Jean-Paul Guillet

E-Mail Website
Guest Editor
IMS Laboratory, University of Bordeaux, 3340 Talence, France
Interests: terahertz; millimeter waves; near field; imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Terahertz waves have emerged as a promising technology in the field of sensing and imaging due to their unique properties such as non-ionizing radiation, high penetration, and high-resolution imaging capabilities. Terahertz sensing and imaging has shown great potential in various industries, including biomedical imaging, non-destructive testing, and ultrafast kinetic monitoring. As the field continues to grow, there is a need for continued research to develop new terahertz sources, detectors, imaging arrays, and spectrometers.

This Special Issue aims to present the latest advancements in terahertz sensing and imaging technology. We invite researchers to submit papers on the theoretical analysis and modeling of terahertz detectors, novel terahertz sources and imagers, advanced terahertz sensing and imaging technologies, the qualitative and quantitative analysis of terahertz spectroscopy, terahertz non-destructive testing, and terahertz imaging in biomedical fields. We hope this Special Issue will inspire new collaborations and accelerate progress towards the practical application of terahertz sensing and imaging in various fields.

Dr. Patrice Genevet
Dr. Elodie Strupiechonski
Dr. Jean-Paul Guillet
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • terahertz
  • sensing
  • imaging
  • non-destructive testing
  • biomedical imaging
  • spectroscopy
  • terahertz sources
  • terahertz detectors
  • high-resolution imaging
  • system integration

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Published Papers (1 paper)

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Research

13 pages, 1678 KiB  
Communication
J-Net: Improved U-Net for Terahertz Image Super-Resolution
by Woon-Ha Yeo, Seung-Hwan Jung, Seung Jae Oh, Inhee Maeng, Eui Su Lee and Han-Cheol Ryu
Sensors 2024, 24(3), 932; https://doi.org/10.3390/s24030932 - 31 Jan 2024
Cited by 2 | Viewed by 1514
Abstract
Terahertz (THz) waves are electromagnetic waves in the 0.1 to 10 THz frequency range, and THz imaging is utilized in a range of applications, including security inspections, biomedical fields, and the non-destructive examination of materials. However, THz images have a low resolution due [...] Read more.
Terahertz (THz) waves are electromagnetic waves in the 0.1 to 10 THz frequency range, and THz imaging is utilized in a range of applications, including security inspections, biomedical fields, and the non-destructive examination of materials. However, THz images have a low resolution due to the long wavelength of THz waves. Therefore, improving the resolution of THz images is a current hot research topic. We propose a novel network architecture called J-Net, which is an improved version of U-Net, to achieve THz image super-resolution. It employs simple baseline blocks which can extract low-resolution (LR) image features and learn the mapping of LR images to high-resolution (HR) images efficiently. All training was conducted using the DIV2K+Flickr2K dataset, and we employed the peak signal-to-noise ratio (PSNR) for quantitative comparison. In our comparisons with other THz image super-resolution methods, J-Net achieved a PSNR of 32.52 dB, surpassing other techniques by more than 1 dB. J-Net also demonstrates superior performance on real THz images compared to other methods. Experiments show that the proposed J-Net achieves a better PSNR and visual improvement compared with other THz image super-resolution methods. Full article
(This article belongs to the Special Issue Future Trends in Terahertz Sensing and Imaging)
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