Snapshot multispectral imaging using a diffractive optical network
AssigneeThe Regents of the University of California
InventorsAydogan Ozcan, Deniz Mengu
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AssigneeThe Regents of the University of California
InventorsAydogan Ozcan, Deniz Mengu
Estimating the term…
A diffractive optical network-based multispectral imaging system is trained using deep learning to create a virtual spectral filter array at the output image field-of-view. The diffractive multispectral imager performs spatially-coherent imaging over a large spectrum, and at the same time, routes a pre-determined set of spectral channels onto an array of pixels at the output plane, converting a monochrome focal plane array or image sensor into a multispectral imaging device without any spectral filters or image recovery algorithms. Furthermore, the spectral responsivity of this diffractive multispectral imager is not sensitive to input polarization states. Due to its compact form factor and computation-free, power-efficient and polarization-insensitive forward operation, the diffractive multispectral imager can be transformative for various imaging and sensing applications and be used at different parts of the electromagnetic spectrum where high-density and wide-area multispectral pixel arrays are not widely available.
A diffractive optical network for performing multispectral imaging of one or more objects comprising:
A diffractive optical network for performing multispectral imaging on an input image comprising:
A method of performing multispectral imaging of one or more objects or an input image comprising:
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