Academic Journal

Time-domain photonic image processor based on speckle projection and reservoir computing

التفاصيل البيبلوغرافية
العنوان: Time-domain photonic image processor based on speckle projection and reservoir computing
المؤلفون: Tomoya Yamaguchi, Kohei Arai, Tomoaki Niiyama, Atsushi Uchida, Satoshi Sunada
المصدر: Communications Physics, Vol 6, Iss 1, Pp 1-10 (2023)
بيانات النشر: Nature Portfolio, 2023.
سنة النشر: 2023
المجموعة: LCC:Astrophysics
LCC:Physics
مصطلحات موضوعية: Astrophysics, QB460-466, Physics, QC1-999
الوصف: Abstract High-speed image processing is essential for many real-time applications. On-chip photonic neural network processors have the potential to speed up image processing, but their scalability is limited in terms of the number of input/output channels because high-density integration is challenging. Here, we propose a photonic time-domain image processing approach, where real-world visual information is compressively acquired through a single input channel. Thus, large-scale processing is enabled even when using a small photonic processor with limited input/output channels. The drawback of the time-domain serial operation can be mitigated using ultrahigh-speed data acquisition based on gigahertz-rate speckle projection. We combine it with a photonic reservoir computer and demonstrate that this approach is capable of dynamic image recognition at gigahertz rates. Furthermore, we demonstrate that this approach can also be used for high-speed learning-based imaging. The proposed approach can be extended to diverse applications, including target tracking, flow cytometry, and imaging of sub-nanosecond phenomena.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2399-3650
Relation: https://doaj.org/toc/2399-3650
DOI: 10.1038/s42005-023-01368-w
URL الوصول: https://doaj.org/article/3dbe2999eeb04cbfb7a4e0d602719f1b
رقم الانضمام: edsdoj.3dbe2999eeb04cbfb7a4e0d602719f1b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23993650
DOI:10.1038/s42005-023-01368-w