Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling

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Zhang, Yiyao and Chen, Ke and Yang, Shang Hua; (2022) Fast terahertz 3D super-resolution surface reconstruction by variational model from limited low-resolution sampling. In: IRMMW-THz 2022 - 47th International Conference on Infrared, Millimeter and Terahertz Waves. International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz . IEEE Computer Society Press, NLD. ISBN 9781728194271 (https://doi.org/10.1109/IRMMW-THz50927.2022.989574...)

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Abstract

Integrating with the signal processing, inverse Radon transform, and the variational model, the framework at least saving 83% data acquisition time for fast, smooth three-dimensional (3D) reconstruction from the limited dataset is elucidated in the field of terahertz imaging applications. In hot pursuit, under the viewpoint of discrete geometry, the quantifiable comparison for 3D surfaces by computing the standard deviation of mean curvatures is also proposed to show the reconstructed effectiveness from less input with gaps.

ORCID iDs

Zhang, Yiyao, Chen, Ke ORCID logoORCID: https://orcid.org/0000-0002-6093-6623 and Yang, Shang Hua;
  • Item type:Book Section
    ID code:87178
    Dates:
    Date
    Event
    26 September 2022
    Published
    Notes:© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:06 Nov 2023 14:26
    Last modified:11 Nov 2024 15:34
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/87178
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