Paper
12 May 2006 Compressive imaging spectrometers using coded apertures
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Abstract
A spectral imager provides a 3-D data cube in which the spatial information (2-D) of the image is complemented by spectral information (1-D) about each spatial location. Typically, these systems are operated in a fully-determined (or overdetermined) manner so that the measurements can be computationally inverted into a reliable estimate of the source. We propose a notional system design that is highly underdetermined, yet still computationally invertable. This approach relies on recently-developed concepts in compressive sensing. Because the number of required measurements is greatly reduced from traditional designs, the result is a faster and more economical sensor system.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. J. Brady and M. E. Gehm "Compressive imaging spectrometers using coded apertures", Proc. SPIE 6246, Visual Information Processing XV, 62460A (12 May 2006); https://doi.org/10.1117/12.667605
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Cited by 37 scholarly publications.
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KEYWORDS
Imaging spectroscopy

Imaging systems

Spectrometers

Sensors

Reconstruction algorithms

Coded apertures

Compressed sensing

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