Current advances and future perspectives of image fusion: A comprehensive review
Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …
world than a single modality alone. Infrared images discriminate targets with respect to their …
[PDF][PDF] Artificial intelligence for metaverse: a framework
The metaverse is attracting considerable attention recently. It aims to build a virtual
environment that people can interact with the world and cooperate with each other. In this …
environment that people can interact with the world and cooperate with each other. In this …
Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction
Existing leading methods for spectral reconstruction (SR) focus on designing deeper or
wider convolutional neural networks (CNNs) to learn the end-to-end map** from the RGB …
wider convolutional neural networks (CNNs) to learn the end-to-end map** from the RGB …
Mask-guided spectral-wise transformer for efficient hyperspectral image reconstruction
Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-spectral signal from
a 2D measurement in the coded aperture snapshot spectral imaging (CASSI) system. The …
a 2D measurement in the coded aperture snapshot spectral imaging (CASSI) system. The …
Degradation-aware unfolding half-shuffle transformer for spectral compressive imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral
image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from …
image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from …
Self-supervised neural networks for spectral snapshot compressive imaging
We consider using untrained neural networks to solve the reconstruction problem of
snapshot compressive imaging (SCI), which uses a two-dimensional (2D) detector to …
snapshot compressive imaging (SCI), which uses a two-dimensional (2D) detector to …
End-to-end low cost compressive spectral imaging with spatial-spectral self-attention
Coded aperture snapshot spectral imaging (CASSI) is an effective tool to capture real-world
3D hyperspectral images. While a number of existing work has been conducted for …
3D hyperspectral images. While a number of existing work has been conducted for …
Deep gaussian scale mixture prior for spectral compressive imaging
In coded aperture snapshot spectral imaging (CASSI) system, the real-world hyperspectral
image (HSI) can be reconstructed from the captured compressive image in a snapshot …
image (HSI) can be reconstructed from the captured compressive image in a snapshot …
Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera
Recent advances in imaging sensors and digital light projection technology have facilitated
rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be …
rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be …
Plug-and-play algorithms for large-scale snapshot compressive imaging
Snapshot compressive imaging (SCI) aims to capture the high-dimensional (usually 3D)
images using a 2D sensor (detector) in a single snapshot. Though enjoying the advantages …
images using a 2D sensor (detector) in a single snapshot. Though enjoying the advantages …