Xiao Titao, Yang Hua, Yang Qiang, Xu Dingyu, Wang Ruisi, Chen Shizhen, Luo Hailu
Opt Lett. 2022 Feb 15;47(4):925-928. doi: 10.1364/OL.450988.
Bright-field imaging and edge imaging can extract different characteristics from objects, and therefore play important roles in image processing and pattern recognition. Here, we propose a fast, convenient, and electrically driven adjustable scheme to achieve tunable edge-enhanced images based on computing metasurfaces. The computing metasurface can perform spatial differential operation as optical waves propagate through it. This optical differential operation is polarization-dependent, thus any desirable contrast can be realized by the interplay between two orthogonal polarization components. By regulating the external voltages applied on the liquid-crystal phase plate, different phase retardances between two orthogonal polarization components are introduced; this allows us to quickly switch between the bright-field image and the edge image.
明场成像和边缘成像可以从物体中提取不同的特征,因此在图像处理和模式识别中发挥着重要作用。在此,我们提出一种快速、便捷且电驱动的可调方案,以基于计算超表面实现可调谐的边缘增强图像。当光波传播通过计算超表面时,它可以执行空间微分运算。这种光学微分运算依赖于偏振,因此通过两个正交偏振分量之间的相互作用可以实现任何所需的对比度。通过调节施加在液晶相位板上的外部电压,在两个正交偏振分量之间引入不同的相位延迟;这使我们能够在明场图像和边缘图像之间快速切换。