外文题目: Deep-learning-based ghost imaging
作者: Lyu, Meng; Wang, Wei; Wang, Hao; Wang, Haichao; Li, Guowei; Chen, Ni; Situ, Guohai
刊名: Sci Rep
年: 2017 卷: 7 文章编号：17865
英文摘要:
In this manuscript, we propose a novel framework of computational ghost imaging, i.e., ghost imaging using deep learning (GIDL). With a set of images reconstructed using traditional Gl and the corresponding ground-truth counterparts, a deep neural network was trained so that it can learn the sensing model and increase the quality image reconstruction. Moreover, detailed comparisons between the image reconstructed using deep learning and compressive sensing shows that the proposed GIDL has a much better performance in extremely low sampling rate. Numerical simulations and optical experiments were carried out for the demonstration of the proposed GIDL.


文献类型: 期刊论文
正文语种: English
收录类别: SCI
DOI: 10.1038/s41598-017-18171-7


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