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[HTML][HTML] Recent advances in counterfeit art, document, photo, hologram, and currency detection using hyperspectral imaging
Forgery and tampering continue to provide unnecessary economic burdens. Although new
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …
PDRs4All: A JWST early release science program on radiative feedback from massive stars
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 …
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 …
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
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 …
from RGB image, which significantly reduces the difficulty of acquiring HSI. Most existing …
Diffusion prior-based amortized variational inference for noisy inverse problems
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 …
trained diffusion models as powerful priors. These attempts have paved the way for using …
IVIU-Net: Implicit variable iterative unrolling network for hyperspectral sparse unmixing
Y Shao, Q Liu, L ** efficient and interpretable layers to …
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 …
and signal-processing techniques work as a feasible alternative for laboratory testing …
14 Hyperspectral imaging and its applications for vein detection: a review
With advances in technology, hyperspectral imaging has become an emerging area of
research due to its numerous advantages over conventional imaging techniques …
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
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 …
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
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 …
problems such as denoising, single hyperspectral image super-resolution, and compressive …