Abstract
A new approach to hyperspectral compressive imaging system based on parallel processing is developed. The architecture of system is based on single-pixel compressive imaging in which the detector is replaced by a spectrometer. By parallelizing the recovery algorithm and using the parallel processing power of multicore CPUs and GPUs, we address high computational requirement of the recovery algorithm.
© 2015 Optical Society of America
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