  Multichannel meta-imaging, inspired by the parallel-processing capability of
neuromorphic computing, offers significant advancements in resolution
enhancement and edge discrimination in imaging systems, extending even into the
mid- to far-infrared spectrum. Currently typical multichannel infrared imaging
systems consist of separating optical gratings or merging multi-cameras, which
require complex circuit design and heavy power consumption, hindering the
implementation of advanced human-eye-like imagers. Here, we present a novel
approach for printable graphene plasmonic photodetector arrays driven by a
ferroelectric superdomain for multichannel meta-infrared imaging with enhanced
edge discrimination. The fabricated photodetectors exhibited multiple spectral
responses with zero-bias operation by directly rescaling the ferroelectric
superdomain instead of reconstructing the separated gratings. We also
demonstrated enhanced and faster shape classification (98.1%) and edge
detection (98.2%) using our multichannel infrared images compared with
single-channel detectors. Our proof-of-concept photodetector arrays simplify
multichannel infrared imaging systems and hold great potential for applications
in efficient edge detection in human-brain-type machine vision.
