Fiber bundle imaging resolution enhancement using deep learning

Jianbo Shao, Junchao Zhang, Rongguang Liang, Kobus Barnard

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


We propose a deep learning based method to estimate high-resolution images from multiple fiber bundle images. Our approach first aligns raw fiber bundle image sequences with a motion estimation neural network and then applies a 3D convolution neural network to learn a mapping from aligned fiber bundle image sequences to their ground truth images. Evaluations on lens tissue samples and a 1951 USAF resolution target suggest that our proposed method can significantly improve spatial resolution for fiber bundle imaging systems.

Original languageEnglish (US)
Pages (from-to)15880-15890
Number of pages11
JournalOptics Express
Issue number11
StatePublished - May 27 2019

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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