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 …

Coded aperture snapshot spectral imaging (CASSI) is an important technique for capturing
three-dimensional (3D) hyperspectral images (HSIs), and involves an inverse problem of …

Obtaining a low-spatial-resolution hyperspectral image (HS) or low-spectral-resolution
multispectral (MS) image from a high-resolution (HR) spectral image is straightforward with …

Snapshot Compressive Spectral Imaging Systems (SCSI) compress the scenes by capturing
2D projections of the encoded underlying signals. A decoder, trained with pre-acquired …

A physics-driven generative adversarial network (GAN) was utilized to demonstrate a single-
pixel hyperspectral imaging (HSI) experiment in the infrared spectrum, eliminating the need …

This paper introduces a plug-and-play algorithm for enhancing compressive spectral
imaging (CSI) through the integration of both a quadratic envelope (QE) regularizer and a …

Learning-based reconstruction methods have shown state-of-the-art (SOTA) performance for
compressive spectral imaging (CSI). However, the training setup dependence causes slight …

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 …

The Deep Image Prior (DIP) technique has been successfully employed in Compressive
Spectral Imaging (CSI) as a non-data-driven deep model approach. DIP methodology …