Kavli Affiliate: Andrei Faraon
| First 5 Authors: Conner Ballew, Gregory Roberts, Andrei Faraon, ,
| Summary:
The ideal imaging system would efficiently capture information about all
fundamental properties light: intensity, direction, wavelength, and
polarization. Most common imaging systems only map the spatial degrees of
freedom of light onto a two dimensional image sensor, with some wavelength
and/or polarization discrimination added at the expense of efficiency. Thus,
one of the most intriguing problems in optics is how to group and classify
multiple degrees of freedom and map them on the two dimensional sensor space.
Here we demonstrate through simulation that volumetric meta-optics elements
consisting of a highly scattering, inverse-designed medium structured with
subwavelength resolution can sort light simultaneously based on direction,
wavelength and polarization. This is done by mapping these properties to a
distinct combination of pixels on the image sensor for compressed sensing
applications, including wavefront sensing, beam profiling, and next-generation
plenoptic sensors.
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