Papers Published

1. Brady, D.J. and Gehm, M.E., Compressive imaging spectrometers using coded apertures, Proceedings of SPIE - The International Society for Optical Engineering, vol. 6246 (2006), pp. 62460 - [12.667605] .
   (last updated on 2007/04/11)

   Abstract:
   A spectral imager provides a 3-D data cube in which the spatial information (2-D) of the image is comple-mented 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.

   Keywords:
   Imaging systems;Spectrum analysis;Computation theory;Image sensors;Spectroscopic analysis;