用于可重构非易失性图像处理的非局部相变元光学技术

Guoce Yang, Mengyun Wang, 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
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引用次数: 0

摘要

下一代智能成像和视觉系统将需要结构紧凑、可调的光学计算硬件来执行高速、低功耗的图像处理。这些要求推动了计算平台的发展,以实现高效的前端模拟光学预处理器,特别是边缘检测能力。然而,目前仍然缺乏可重新配置或可编程的方案,而这些方案可能会大大提高这些器件在系统级的影响力。在这里,我们提出并实验演示了一种使用低损耗相变非局部元表面的可重新配置平面光学图像处理器。当相变材料在非晶相与晶体相之间转换时,元表面的配置可实现空间频率空间的不同传递函数。这样就能在同一设备上实现边缘检测和明场成像模式。这种元表面与约 0.5 的大数值孔径兼容,因此适合于高分辨率相干光学成像显微镜。相变可重构非局部元表面的概念可能使人工智能辅助成像和可切换多任务的视觉设备的新兴应用成为可能。
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Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing
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.
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