Three-dimensional computational ghost imaging using a dynamic virtual projection unit generated by Risley prisms

Haoyu Zhang, Jie Cao*, Dong Zhou, Huan Cui, Yang Cheng, Qun Hao

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

9 引用 (Scopus)

摘要

Computational ghost imaging (CGI) using stereo vision is able to achieve three-dimensional (3D) imaging by using multiple projection units or multiple bucket detectors which are separated spatially. We present a compact 3D CGI system that consists of Risley prisms, a stationary projection unit and a bucket detector. By rotating double prisms to various angles, speckle patterns appear to be projected by a dynamic virtual projection unit at different positions and multi-view ghost images are obtained for 3D imaging. In the process of reconstruction, a convolutional neural network (CNN) for super-resolution (SR) is adopted to enhance the angular resolution of reconstructed images. Moreover, an optimized 3D CNN is implemented for disparity estimation and 3D reconstruction. The experimental results validate the effectiveness of the method and indicate that the compact system with flexibility has potential in applications such as navigation and detection.

源语言英语
页(从-至)39152-39161
页数10
期刊Optics Express
30
21
DOI
出版状态已出版 - 10 10月 2022

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