Image Reconstruction Method for Photonic Integrated Interferometric Imaging Based on Deep Learning

被引：0
作者：
Xu, Qianchen [1 ]
Chang, Weijie [2 ]
Huang, Feng [2 ]
Zhang, Wang [1 ]
机构：
[1] Jilin Univ, Sch Mech & Aerosp Engn, Changchun 130025, Peoples R China
[2] Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350108, Peoples R China
来源：
CURRENT OPTICS AND PHOTONICS | 2024年 / 8卷 / 04期
关键词：
Deep learning; Image reconstruction; Optical imaging; Optical interferometry; Photonic integrated circuits; SYSTEM-DESIGN;
D O I：
10.3807/COPP.2024.8.4.391
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
An image reconstruction algorithm is vital for the image quality of a photonic integrated interferometric imaging (PIII) system. However, image reconstruction algorithms have limitations that always lead to degraded image reconstruction. In this paper, a novel image reconstruction algorithm based on deep learning is proposed. Firstly, the principle of optical signal transmission through the PIII system is investigated. A dataset suitable for image reconstruction of the PIII system is constructed. Key aspects such as model and loss functions are compared and constructed to solve the problem of image blurring and noise influence. By comparing it with other algorithms, the proposed algorithm is verified to have good reconstruction results not only qualitatively but also quantitatively.
引用
收藏
页码：391 / 398
页数：8
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