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Analog optical deconvolution computing for wavefront coding based on nanoantennas metasurfaces
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DOI：10.1364/OE.439106.png)
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Analog optical computing based on metasurfaces has attracted much attention for achieving high-speed calculating without the electronic processing unit. Wavefront coding imaging systems involve the joint design of an encoded image-capturing module and decoding postprocessing algorithms to obtain a required final image. The decoding postprocessing algorithms, as a typical deconvolution computation, require an additional electronic processing unit to yield a high-quality decoded image. We demonstrate an analog optical deconvolution computing kernel based on nanoantennas metasurfaces for the postprocessing calculation of wavefront coding systems. Numerical simulations are presented to prove that the encoded point spread function can be refocused through a designed optical computing metasurface. The proposed approach opens an opportunity for real-time recovering images in wavefront coding optical systems. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Keyword:
SPATIAL DIFFERENTIATION
EDGE-DETECTION
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
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