Imaging spectroscopy involves the sensing of a large amount of spatial information across a
multitude of wavelengths. Conventional approaches to hyperspectral sensing scan adjacent …

We consider a compressive hyperspectral imaging reconstruction problem, where three-
dimensional spatio-spectral information about a scene is sensed by a coded aperture …

Abstract In Compressive Sensing, the Restricted Isometry Property (RIP) ensures that robust
recovery of sparse vectors is possible from noisy, undersampled measurements via …

We propose a spectral imaging method that allows a regular digital camera to be converted
into a snapshot spectral imager by equip** the camera with a dispersive diffuser and with …

Imaging spectroscopy collects the spectral information of a scene by sensing all the spatial
information across the electromagnetic wavelengths and are useful for applications in …

The snapshot colored compressive spectral imager (SCCSI) is a recent compressive
spectral imaging (CSI) architecture that senses the spatial and spectral information of a …

Traditional hyperspectral imaging sensors acquire high-dimensional data that are used for
the discrimination of objects and features in a scene. Recently, a novel architecture known …

The coded aperture snapshot spectral imager (CASSI) is a computational imaging system
that acquires a three dimensional (3D) spectral data cube by a single or a few two …

The coded aperture snapshot spectral imager (CASSI) acquires three-dimensional spectral
images with two-dimensional coded projection measurements. This paper proposes an …

Abstract Raman Spectroscopy Imaging requires long periods of time for the data acquisition
and subsequent treatment of the spectral chemical images. Recently, Compressed Sensing …