Language:

eHoloNet: a learning-based end-to-end approach for in-line digital holographic reconstruction

Optics express, 2018-09, Vol.26 (18), p.22603-22614 [Peer Reviewed Journal]

Full text available

Citations Cited by

Title:
eHoloNet: a learning-based end-to-end approach for in-line digital holographic reconstruction
Author: Wang, Hao ; Lyu, Meng ; Situ, Guohai
Is Part Of: Optics express, 2018-09, Vol.26 (18), p.22603-22614
Description: 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.
Publisher: United States
Language: English
Identifier: ISSN: 1094-4087
EISSN: 1094-4087
DOI: 10.1364/OE.26.022603
PMID: 30184918
Source: Geneva Foundation Free Medical Journals at publisher websites
Alma/SFX Local Collection
ROAD: Directory of Open Access Scholarly Resources
DOAJ Directory of Open Access Journals

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

Searching Remote Databases, Please Wait