Nonlinear Computational Edge Detection Metalens
Nonlinear Computational Edge Detection Metalens
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DOI：
10.1002/adfm.202204734
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发表时间：
2022-06
影响因子：
19
通讯作者：
Junxiao Zhou;Junxiang Zhao;Qianyi Wu;Ching‐Fu Chen;M. Lei;Guanghao Chen;Fanglin Tian;Zhaowei Liu
中科院分区：
文献类型：
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作者：
Junxiao Zhou;Junxiang Zhao;Qianyi Wu;Ching‐Fu Chen;M. Lei;Guanghao Chen;Fanglin Tian;Zhaowei Liu
光学图像处理和计算系统通过利用并行光学架构提供最高的信息处理速率。现有的光学模拟处理技术需要多个设备来投影图像和执行计算。此外，由于建筑材料的时不变光学响应，这些设备通常限于线性操作。在这项工作中，一个单一的超透镜与照明强度相关的相干传递函数（CTF）的建议和实验证明，它执行不同的计算成像，而不需要任何额外的光学元件。由具有静态几何相位的纳米天线结构和提供强度依赖的动态相位的非线性金属量子阱层组成的超透镜导致连续可调谐的CTF。该方法允许基于超透镜设计的两个设计函数的加权求和，这可能实现复杂函数的所有光学计算。这种非线性超透镜在光学神经网络和并行模拟计算中有重要的应用。
Optical image processing and computing systems provide supreme information processing rates by utilizing parallel optical architectures. Existing optical analog processing techniques require multiple devices for projecting images and executing computations. In addition, those devices are typically limited to linear operations due to the time‐invariant optical responses of the building materials. In this work, a single metalens with an illumination intensity dependent coherent transfer function (CTF) is proposed and experimentally demonstrated, which performs varying computed imaging without requiring any additional optical components. The metalens consisting of nanoantenna structures with a static geometric phase and a nonlinear metallic quantum well layer offering an intensity‐dependent dynamic phase results in a continuously tunable CTF. The approach allows for a weighted summation of two designed functions based on the metalens design, which potentially enables all optical computations of complex functions. The nonlinear metalens may lead to important applications in optical neural networks and parallel analog computing.