Blind Deblurring of THz Time-Domain Images Based on Low-Rank Representation

Marina Ljubenović, Mário A. T. Figueiredo, Arianna Traviglia

2024

Abstract

Terahertz (THz) time-domain imaging holds immense potential for material characterization, capturing three-dimensional data across spatial and temporal dimensions. Despite its capabilities, the technology faces hurdles such as frequency-dependent beam-shape effects and noise. This paper proposes a novel, dual-stage framework for improving THz image resolution beyond the wavelength limit. Our method combats blur at lower frequencies and noise at higher frequencies. The first stage entails selective deblurring of lower-frequency bands, addressing beam-related blurring, while the second stage involves denoising the entire THz hyperspec-tral cube through dimensionality reduction, exploiting its low-rank structure. The synergy of these advanced techniques—beam shaping, noise removal, and low-rank representation—forms a comprehensive approach to enhance THz time-domain images. We present promising preliminary results, showcasing significant improvements across all frequency bands, which is crucial as samples may display varying features across the THz spectrum. Our ongoing work is extending this methodology to complex scenarios such as analyzing multilayered structures in closed ancient manuscripts. This approach paves the way for broader application and refinement of THz imaging in diverse research fields.

Paper Citation

in Harvard Style

Ljubenović M., A. T. Figueiredo M. and Traviglia A. (2024). Blind Deblurring of THz Time-Domain Images Based on Low-Rank Representation. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 672-679. DOI: 10.5220/0012436800003660

in Bibtex Style

@conference{visapp24,
author={Marina Ljubenović and Mário A. T. Figueiredo and Arianna Traviglia},
title={Blind Deblurring of THz Time-Domain Images Based on Low-Rank Representation},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={672-679},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012436800003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Blind Deblurring of THz Time-Domain Images Based on Low-Rank Representation
SN - 978-989-758-679-8
AU - Ljubenović M.
AU - A. T. Figueiredo M.
AU - Traviglia A.
PY - 2024
SP - 672
EP - 679
DO - 10.5220/0012436800003660
PB - SciTePress