[HTML][HTML] Recent advances in counterfeit art, document, photo, hologram, and currency detection using hyperspectral imaging

SY Huang, A Mukundan, YM Tsao, Y Kim, FC Lin… - Sensors, 2022 - mdpi.com
Forgery and tampering continue to provide unnecessary economic burdens. Although new
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …

PDRs4All: A JWST early release science program on radiative feedback from massive stars

PI Team, O Berné, É Habart, E Peeters… - Publications of the …, 2022 - iopscience.iop.org
The James Webb Space Telescope (JWST, Gardner et al. 2006) is a 6.5 m space telescope
launched in 2021 December and is developed by the National Aeronautics and Space …

Injected Infrared and Visible Image Fusion via Decomposition Model and Guided Filtering

H Yan, JX Zhang, X Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, an infrared (IR) and visible (VIS) image fusion algorithm is designed for the
injection of the IR objects into the VIS background in a perceptual manner. It consists of four …

Frequency-spatial domain feature fusion for spectral super-resolution

L Tan, R Dian, S Li, J Liu - IEEE Transactions on Computational …, 2024 - ieeexplore.ieee.org
The purpose of spectral super-resolution (SSR) is to reconstruct hyperspectral image (HSI)
from RGB image, which significantly reduces the difficulty of acquiring HSI. Most existing …

Diffusion prior-based amortized variational inference for noisy inverse problems

S Lee, D Park, I Kong, HJ Kim - European Conference on Computer Vision, 2024 - Springer
Recent studies on inverse problems have proposed posterior samplers that leverage the pre-
trained diffusion models as powerful priors. These attempts have paved the way for using …

Dual mode multispectral imaging system for food and agricultural product quality estimation

D Udayanga, A Serasinghe… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Multispectral imaging (MSI) coupled with artificial intelligence (AI), machine-learning (ML),
and signal-processing techniques work as a feasible alternative for laboratory testing …

14 Hyperspectral imaging and its applications for vein detection: a review

H Ndu, A Sheikh-Akbari, I Mporas - Computer Vision: Applications of …, 2023 - degruyter.com
With advances in technology, hyperspectral imaging has become an emerging area of
research due to its numerous advantages over conventional imaging techniques …

Interpretable deep image prior method inspired in linear mixture model for compressed spectral image recovery

T Gelvez, J Bacca, H Arguello - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
This paper presents a recovery method for compressive spectral imaging (CSI) based on the
training-data independent deep image prior approach, where the prior information of the …

Mixture-Net: Low-rank deep image prior inspired by mixture models for spectral image recovery

T Gelvez-Barrera, J Bacca, H Arguello - Signal Processing, 2024 - Elsevier
This paper proposes a non-data-driven deep neural network for spectral image recovery
problems such as denoising, single hyperspectral image super-resolution, and compressive …