Imaging depth and spectrum have been extensively studied in isolation from each other for
decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both …

We introduce end-to-end inverse design for multi-channel imaging, in which a nanophotonic
frontend is optimized in conjunction with an image-processing backend to extract depth …

Compressive multispectral imaging systems comprise a new generation of spectral imagers
that capture coded projections of a scene where spectral data cubes are reconstructed …

Compressive spectral depth imaging (CSDI) is an emerging technology aiming to
reconstruct spectral and depth information of a scene from a limited set of two-dimensional …

In recent years there has been an increasing interest in sensing devices that capture
multidimensional information such as the spectral light field (SLF) images, which are 5 …

Compressive spectral imaging systems have promising applications in the field of object
classification. However, for soil classification problem, conventional methods addressing this …

Depth and spectral imaging are essential technologies for a myriad of applications but have
been conventionally studied as individual problems. Recent efforts have been made to …

Snapshot hyperspectral imaging technology is increasingly used in agricultural product
monitoring. In this study, we present a 9× local zoom snapshot hyperspectral imaging …

This paper proposes a snapshot Compressed Light Field Imaging Spectrometer based on
compressed sensing and light field concept, which can acquire the two-dimensional spatial …

Spectral imaging involves the sensing of a large amount of spatial information across a
multitude of wavelengths. Conventional approaches rely on scanning techniques to …