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 …

This tutorial offers an introduction to terrestrial and close-range hyperspectral imaging and
some of its uses in human color vision research. The main types of hyperspectral cameras …

Fourier single-pixel imaging (FSI) technology has attracted wide attention for its high
imaging efficiency and broad applicability. However, the existing sampling methods cannot …

Fourier single-pixel imaging is one of the main single-pixel imaging techniques. To improve
the imaging efficiency, some of the recent method typically select the low-frequency and …

A coupled deep learning approach for coded aperture design and single-pixel
measurements classification is proposed. A whole neural network is trained to …

Optical coding is an essential technique in computational imaging (CI) that allows high-
dimensional signal sensing through post-processed coded projections to decode the …

Compressive spectral imaging (CSI) has attracted significant attention since it employs
synthetic apertures to codify spatial and spectral information, sensing only 2D projections of …

Coded aperture snapshot spectral imager (CASSI) provides a potential solution to recover
the 3D hyperspectral image (HSI) from a single 2D measurement. The latest proposed …

Compressive spectral video sensing (CSVS) systems obtain spatial, spectral, and temporal
information of a dynamic scene through the encoding of the incoming light rays by using a …

Compressive spectral imaging techniques encode and disperse a hyperspectral image
(HSI) to sense its spatial and spectral information with few bidimensional (2D) multiplexed …