Terahertz waves are electromagnetic waves located at 0.1–10 THz, and terahertz imaging
technology can be applied to security inspection, biomedicine, non-destructive testing of …

We propose an effective and robust method for terahertz (THz) image super-resolution
based on a deep convolutional neural network (CNN). A deep CNN model is designed. It …

During the real-aperture-scanning imaging process, terahertz (THz) images are often
plagued with the problem of low spatial resolution. Therefore, an accommodative super …

To investigate the effectiveness of selective tree improvement work, an accurate and
calibration-free framework based on THz time-domain sensing for intrinsic wood quality …

The low image acquisition speed of terahertz (THz) time-domain imaging systems limits their
application in biological products analysis. In the current study, a local pixel graph neural …

Nowadays, terahertz (THz) imaging is quite promising in scientific and biomedical
applications. However, the much longer wavelength degrades the resolution of obtained …

To date, the existing terahertz super-resolution reconstruction methods based on deep-
learning networks have achieved noteworthy success. However, the terahertz image …

Terahertz (THz) waves are widely used in the field of non-destructive testing (NDT).
However, terahertz images have issues with limited spatial resolution and fuzzy features …

We present a high-resolution (HR) reconstruction model and algorithms for terahertz
imaging, taking advantage of super-resolution methodology and algorithms. The algorithms …

In this paper, a novel method to enhance Frequency Modulated Continuous Wave (FMCW)
THz imaging resolution beyond its diffraction limit is proposed. Our method comprises two …