Super-resolution of THz time-domain images based on low-rank representation
Abstract
Terahertz time-domain spectroscopy (THz-TDS) employs sub-picosecond pulses to probe dielectric properties of materials giving as a result a 3-dimensional hyperspectral data cube. The spatial resolution of THz images is primarily limited by two sources: a non-zero THz beam waist and the acquisition step size. Acquisition with a small step size allows for the visualisation of smaller details in images at the expense of acquisition time, but the frequency-dependent point-spread function remains the biggest bottleneck for THz imaging. This work presents a super-resolution approach to restore THz time-domain images acquired with medium-to-big step sizes. The results show the optimized and robust performance for different frequency bands (from 0.5 to 3.5 THz) obtaining higher resolution and additionally removing effects of blur at lower frequencies and noise at higher frequencies.
Keywords
Cite
@article{arxiv.2312.13820,
title = {Super-resolution of THz time-domain images based on low-rank representation},
author = {Marina Ljubenovic and Alessia Artesani and Stefano Bonetti and Arianna Traviglia},
journal= {arXiv preprint arXiv:2312.13820},
year = {2023}
}
Comments
This work was presented at the Sixth International Workshop on Mobile Terahertz Systems (IWMTS)