Universal linear intensity transformations using spatially-incoherent diffractive processors
AssigneeThe Regents of the University of California
InventorsAydogan Ozcan, Md Sadman Sakib Rahman, Xilin Yang
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AssigneeThe Regents of the University of California
InventorsAydogan Ozcan, Md Sadman Sakib Rahman, Xilin Yang
Estimating the term…
Under spatially-coherent light, a diffractive optical network or processor composed of structured surfaces can be designed to perform any arbitrary complex-valued linear transformation between its input and output fields-of-view (FOVs) if the total number (N) of optimizable phase-only diffractive features is ≥~2NiNo, where Ni and No refer to the number of useful pixels at the input and the output FOVs, respectively. Here, a spatially-incoherent diffractive optical processor is disclosed that can approximate any arbitrary linear transformation in time-averaged intensity between its input and output FOVs. In other embodiments, the diffractive optical network or processor executes complex-valued information processing for executing arbitrary complex-valued linear transformations using spatially incoherent light. Spatially-incoherent diffractive networks will be broadly useful for designing all-optical visual processors that can work with incoherent, under natural light.
A diffractive optical network or processor comprising:
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A method of using a diffractive optical network or processor comprising:
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A diffractive optical network or processor for performing a complex-valued target linear transformation of an input optical signal or data comprising:
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A diffractive optical network or processor for performing a complex-valued target linear transformation of an input optical signal or data comprising:
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Dependencies are inferred from the claim text.