Journal
OPTICS EXPRESS
Volume 26, Issue 18, Pages 22603-22614Publisher
Optica Publishing Group
DOI: 10.1364/OE.26.022603
Keywords
-
Categories
Funding
- Chinese Academy of Sciences [QYZDB-SSW-JSC002]
- National Natural Science Foundation of China [61705241, 61327902]
- Natural Science Foundation of Shanghai [17ZR1433800]
Ask authors/readers for more resources
It is well known that in-line digital holography (DH) makes use of the full pixel count in forming the holographic imaging. But it usually requires phase-shifting or phase retrieval techniques to remove the zero-order and twin-image terms, resulting in the so-called two-step reconstruction process, i.e., phase recovery and focusing. Here, we propose a one-step end-to-end learning-based method for in-line holography reconstruction, namely, the eHoloNet, which can reconstruct the object wavefront directly from a single-shot in-line digital hologram. In addition, the proposed learning-based DH technique has strong robustness to the change of optical path difference between reference beam and object light and does not require the reference beam to be a plane or spherical wave. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available