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

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

Citation Download Citation

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

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