Metalens for Accelerated Optoelectronic Edge Detection under Ambient Illumination

• DOI: 10.1021/acs.nanolett.3c04112
• Publication Date: 2023-12-18T16:50:30Z
• Authors: Shuai Wang; Liu Li; Shun Wen; Ruiqi Liang; Yaxi Liu; Feng Zhao; Yuanmu Yang

Analog systems may allow image processing, such as edge detection, with low computational power. However, most demonstrated analog systems, based on either conventional 4-f imaging or nanophotonic structures, rely coherent laser sources for illumination, which significantly restricts their use in routine tasks ambient, incoherent illumination. Here, we a metalens-assisted system that can optoelectronic detection under ambient illumination conditions. The metalens was designed to generate polarization-dependent optical transfer functions (OTFs), resulting synthetic OTF an isotropic high-pass frequency response after digital subtraction. We integrated the polarization-multiplexed polarization camera and experimentally single-shot of indoor outdoor scenes, including flying airplane, sunlight proposed showcased potential using multiplexing construction complex convolution kernels toward accelerated machine vision object classification