Spectral imaging collects and processes information along spatial and spectral coordinates
quantified in discrete voxels, which can be treated as a 3D spectral data cube. The spectral …

Snapshot spectral imaging technology enables the capture of complete spectral information
of objects in an extremely short period of time, offering wide-ranging applications in fields …

Snapshot compressive imaging (SCI) is an advanced approach for single-shot high-
dimensional data visualization. Deep learning is popularly used to improve SCI's …

Diffractive multispectral optical imaging plays an essential role in optical sensing, which
typically suffers from the image blurring problem caused by the spatially variant point spread …

Hyperspectral imaging (HSI) systems have been demonstrated as a powerful imaging
technique due to their high spectral resolution. HSI can obtain the spectrum for each pixel in …

Recent hyperspectral imaging has been taking advantage of the development of diffractive
optics elements (DOEs) to encode the spectral information in a single or multiple snapshots …

Compressive spectral imaging aims to reconstruct the entire three-dimensional spectral
cube from a few measurements, ideally with a snapshot capability. Recently various spectral …