Summary
2023
Session Number:C4L-3
Session:
Number:C4L-31
Fast Optical Image Processing System Using Photonic Reservoir Computing
Yamaguchi Tomoya, Takabayashi Keigo, Niiyama Tomoaki, Sunada Satoshi,
pp.619-620
Publication Date:2023-09-21
Online ISSN:2188-5079
DOI:10.34385/proc.76.C4L-31
PDF download (918.1KB)
Summary:
Photonic computing is promising for image processing because it can process information at ultra-high speed and low power consumption. Whereas photonic computing-based image processing have been intensively studied, op-tical image processing in the GHz band, which far exceeds the frame rate of conventional image sensors, is still chal-lenging. In this study, we propose an image processing system based on photonic reservoir computing and single-channel acquisition technique based on fast random pat-tern projection and demonstrate its capabilities for fast image recognition and image reconstruction.