@inproceedings{05db334aaebf4688ad49877a6fe332b6,
title = "Single disperser design for compressive, single-snapshot spectral imaging",
abstract = "Recent theoretical work in {"}compressed sensing{"} can be exploited to guide the design of accurate, single-snapshot, static, high-throughput spectral imaging systems. A spectral imager provides a three-dimensional data cube in which the spatial information of the image is complemented by spectral information about each spatial location. In this paper, compressive, single-snapshot spectral imaging is accomplished via a novel static design consisting of a coded input aperture, a single dispersive element and a detector. The proposed {"}single disperser{"} design described here mixes spatial and spectral information on the detector by measuring coded projections of the spectral datacube that are induced by the coded input aperture. The single disperser uses fewer optical elements and requires simpler optical alignment than our dual disperser design.1 We discuss the prototype instrument, the reconstruction algorithm used to generate accurate estimates of the spectral datacubes, and associated experimental results.",
keywords = "Coded aperture, Compressed sensing, Spectral imaging",
author = "Wagadarikar, {Ashwin A.} and Renu John and Rebecca Willett and Brady, {David J.}",
year = "2007",
doi = "10.1117/12.734058",
language = "English (US)",
isbn = "9780819468628",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Adaptive Coded Aperture Imaging and Non-Imaging Sensors",
note = "Adaptive Coded Aperture Imaging and Non-Imaging Sensors ; Conference date: 29-08-2007 Through 30-08-2007",
}