Journal ArticleDOI
Single disperser design for coded aperture snapshot spectral imaging
TLDR
A single disperser spectral imager is presented that exploits recent theoretical work in the area of compressed sensing to achieve snapshot spectral imaging and can be used to capture spatiospectral information of a scene that consists of two balls illuminated by different light sources.Abstract:
We present a single disperser spectral imager that exploits recent theoretical work in the area of compressed sensing to achieve snapshot spectral imaging. An experimental prototype is used to capture the spatiospectral information of a scene that consists of two balls illuminated by different light sources. An iterative algorithm is used to reconstruct the data cube. The average spectral resolution is 3.6 nm per spectral channel. The accuracy of the instrument is demonstrated by comparison of the spectra acquired with the proposed system with the spectra acquired by a nonimaging reference spectrometer.read more
Citations
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Journal ArticleDOI
Structured Compressed Sensing: From Theory to Applications
Marco F. Duarte,Yonina C. Eldar +1 more
TL;DR: The prime focus is bridging theory and practice, to pinpoint the potential of structured CS strategies to emerge from the math to the hardware in compressive sensing.
Journal ArticleDOI
Kronecker Compressive Sensing
TL;DR: The formulation of Kronecker product matrices enables the derivation of analytical bounds for the sparse approximation of multidimensional signals and CS recovery performance, as well as a means of evaluating novel distributed measurement schemes.
Journal ArticleDOI
Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing
Lihan He,Lawrence Carin +1 more
TL;DR: A hierarchical Bayesian model is constituted, with efficient inference via Markov chain Monte Carlo (MCMC) sampling, with performance comparisons to many state-of-the-art compressive-sensing inversion algorithms.
Journal ArticleDOI
Compressive Coded Aperture Spectral Imaging: An Introduction
TL;DR: The remarkable advantage of CASSI is that the entire data cube is sensed with just a few FPA measurements and, in some cases, with as little as a single FPA shot.
Compressive holography
David J. Brady,Sehoon Lim +1 more
TL;DR: This work demonstrates single frame 3D tomography from 2D holographic data using compressed sampling, which enables signal reconstruction using less than one measurement per reconstructed signal value.
References
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