Metamaterial Apertures for Computational Imaging

You probably recall the use of metamaterials in the constitution of flat lenses in Plenoptic Function Sensing Hacks ? well, Sylvain Gigan spotted this one on Friday: Metamaterial Apertures for Computational Imaging by John Hunt, Tom Driscoll, Alex Mrozac,  Guy Lipworth, Matthew Reynolds, David Brady,David R. Smith. The abstract reads:

By leveraging metamaterials and compressive imaging, a low-profile aperture capable of microwave imaging without lenses, moving parts, or phase shifters is demonstrated. This designer aperture allows image compression to be performed on the physical hardware layer rather than in the postprocessing stage, thus averting the detector, storage, and transmission costs associated with full diffraction-limited sampling of a scene. A guided-wave metamaterial aperture is used to perform compressive image reconstruction at 10 frames per second of two-dimensional (range and angle) sparse still and video scenes at K-band (18 to 26 gigahertz) frequencies, using frequency diversity to avoid mechanical scanning. Image acquisition is accomplished with a 40:1 compression ratio.

the thing to keep in mind is that even our current "conventional" imaging system are already compressive of the plenoptic function (they take a 3d scene of an inifinite set of  colors and make it a 2-d scene made up of a combination of three colors)

From Mark Neifeld's presentation made at the Duke-AFRL Meeting on Adaptation for Task-Specific Compressive Imaging

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