The applications of compressive sensing (CS) in the field of information security have
captured a great deal of researchers' attention in the past decade. To supply guidance for …

Hyperspectral imaging is an important visual modality with growing interest and range of
applications. The latter, however, is hindered by the fact that existing devices are limited in …

Multi-spectral imaging is a fundamental tool characterizing the constituent energy of scene
radiation. However, current multi-spectral video cameras cannot scale up beyond megapixel …

Multispectral imaging has been used for numerous applications in eg, environmental
monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical …

Multispectral cameras collect image data with a greater number of spectral channels than
traditional trichromatic sensors, thus providing spectral information at a higher level of detail …

Convolutional sparse coding (CSC) has become an increasingly important tool in machine
learning and computer vision. Image features can be learned and subsequently used for …

This paper proposes a novel compressive hyperspectral (HS) imaging approach that allows
for high-resolution HS images to be captured in a single image. The proposed architecture …

Hyperspectral (HS) imaging involves the sensing of a scene's spectral properties, which are
often redundant in nature. The redundancy of the information motivates our quest to …

Coded aperture snapshot spectral imaging (CASSI) system encodes the 3D hyperspectral
image (HSI) within a single 2D compressive image and then reconstructs the underlying HSI …

To solve the low spatial and/or temporal resolution problem which the conventional
hyperspectral cameras often suffer from, coded hyperspectral imaging systems have …