Computational imaging in a multiplexed imager with static multispectral encoding

Johann Veras; Robert Muise; Kevin Hines; Abhijit Mahalanobis; Mark Neifeld

doi:10.1117/12.2177062

14 May 2015 Computational imaging in a multiplexed imager with static multispectral encoding

Johann Veras; Robert Muise; Kevin Hines; Abhijit Mahalanobis; Mark Neifeld

Author Affiliations +

Proceedings Volume 9484, Compressive Sensing IV; 948407 (2015) https://doi.org/10.1117/12.2177062
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, Maryland, United States

Abstract

We simulate and study various computational techniques for image reconstruction applied to a multiplexed Mid-wave-IR Imager. The imager consists of two arms where one is dedicated to high resolution imaging using a lower resolution Focal Plane Array and the other is a single measurement Multispectral imager which uses dispersive optics. We exploit the compressibility of images to estimate a high resolution image and its corresponding lower resolution multispectral data cube using standard computational techniques.

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Johann Veras, Johann Veras, Robert Muise, Robert Muise, Kevin Hines, Kevin Hines, Abhijit Mahalanobis, Abhijit Mahalanobis, Mark Neifeld, Mark Neifeld, } "Computational imaging in a multiplexed imager with static multispectral encoding", Proc. SPIE 9484, Compressive Sensing IV, 948407 (14 May 2015); doi: 10.1117/12.2177062; https://doi.org/10.1117/12.2177062

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