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Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing
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作者 Guoce Yang Mengyun Wang +10 位作者 june sang lee Nikolaos Farmakidis Joe Shields Carlota Ruiz de Galarreta Stuart Kendall Jacopo Bertolotti Andriy Moskalenko Kairan Huang Andrea Alù C.David Wright Harish Bhaskaran 《Light: Science & Applications》 2025年第6期1759-1768,共10页
The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing.These requirements are driving the development o... The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing.These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors,especially for edge detection capability.Yet,there is still a lack of reconfigurable or programmable schemes,which may drastically enhance the impact of these devices at the system level.Here,we propose and experimentally demonstrate a reconfigurable flat optical image processor using low-loss phase-change nonlocal metasurfaces.The metasurface is configured to realize different transfer functions in spatial frequency space,when transitioning the phase-change material between its amorphous and crystalline phases.This enables edge detection and bright field imaging modes on the same device.The metasurface is compatible with a large numerical aperture of~0.5,making it suitable for high resolution coherent optical imaging microscopy.The concept of phase-change reconfigurable nonlocal metasurfaces may enable emerging applications of artificial intelligence-assisted imaging and vision devices with switchable multitasking. 展开更多
关键词 RECONFIGURABLE metaoptics smart imaging vision systems NONLOCAL computing metasurfaces edge detection phase change enhance impact
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