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 …

We propose the l-net, which reconstructs hyperspectral images (eg, with 24 spectral
channels) from a single shot measurement. This task is usually termed snapshot …

The low-dimensional manifold of image patches has been introduced as regularizer term,
and shown effective in hyperspectral image inpainting. However, in this article, we find that …

Hyperspectral (HS) reconstruction from RGB images denotes the recovery of whole-scene
HS information, which has attracted much attention recently. State-of-the-art approaches …

Hyperspectral images can provide rich clues for various computer vision tasks. However, the
requirements of professional and expensive hardware for capturing hyperspectral images …

A hyperspectral camera captures a scene in many frequency bands across the spectrum,
providing rich information and facilitating numerous applications. The potential of …

Spectral imaging is a powerful tool in industrial processes, medical imaging, and
fundamental scientific research. However, for the commonly used spatial/spectral-scanning …

In order to capture the spatial-spectral (x, y, λ) information of the scene, various techniques
have been proposed. Different from the widely used scanning-based methods, spectral …

We review the recent deep learning reconstruction algorithms for spectral snapshot
compressive imaging (SCI), which used a single shot measurement to capture the three …

We introduce the motivation and principle of coded optical imaging using the example of
snapshot compressive imaging, in particular the coded aperture snapshot spectral imager …