计算机科学
图像处理
GSM演进的增强数据速率
计算机硬件
光学
人工智能
物理
图像(数学)
作者
Guoce Yang,Mengyun Wang,June Sang Lee,Nikolaos Farmakidis,Joe Shields,Carlota Ruíz de Galarreta,Stuart Kendall,Jacopo Bertolotti,Andriy Moskalenko,Kairan Huang,Andrea Alù,Christopher David Wright,Harish Bhaskaran
标识
DOI:10.1038/s41377-025-01841-x
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI