Multispectral Compressive Imaging Strategies Using Fabry–Pérot Filtered Sensors

@article{Degraux2018MultispectralCI,
  title={Multispectral Compressive Imaging Strategies Using Fabry–P{\'e}rot Filtered Sensors},
  author={K{\'e}vin Degraux and Valerio Cambareri and Bert Geelen and Laurent Jacques and Gauthier Lafruit},
  journal={IEEE Transactions on Computational Imaging},
  year={2018},
  volume={4},
  pages={661-673}
}
In this paper, we introduce two novel acquisition schemes for multispectral compressive imaging. Unlike most existing methods, the proposed computational imaging techniques do not include any dispersive element, as they use a dedicated sensor that integrates narrowband Fabry–Pérot spectral filters at the pixel level. The first scheme leverages joint inpainting and superresolution to fill in those voxels that are missing due to the device's limited pixel count. The second scheme introduces… 

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