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 …

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 …

Computational optical imaging (COI) systems leverage optical coding elements (CEs) in
their setups to encode a high-dimensional scene in a single or in multiple snapshots and …

The race for miniature color cameras using flat meta-optics has rapidly developed the end-to-
end design framework using neural networks. Although a large body of work has shown the …

Launched in March 2021, the 3U CubeSat nanosatellite was the first ever to use an ultra-
lightweight harmonic diffractive lens for Earth remote sensing. We describe the CubeSat …

End-to-end optimization of diffractive optical elements (DOEs) profile through a digital
differentiable model combined with computational imaging have gained an increasing …

Coded aperture snapshot spectral imaging (CASSI) can acquire rich spatial and spectral
information at ultra-high speed, which shows extensive application prospects. CASSI …

A communication channel should be built to transmit information from one place to another.
Imaging is 2 or higher dimensional information communication. Conventionally, an imaging …

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