Extending the depth-of-field of imaging systems with a scattering diffuser.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
09 May 2019
09 May 2019
Historique:
received:
20
12
2018
accepted:
26
04
2019
entrez:
11
5
2019
pubmed:
11
5
2019
medline:
11
5
2019
Statut:
epublish
Résumé
Large depth of field (DOF) is a longstanding goal in optical imaging field. In this paper we presented a simple but efficient method to extend the DOF of a diffraction-limited imaging system using a thin scattering diffuser. The DOF characteristic of the imaging system with random phase modulation was analyzed based on the analytical model of ambiguity function as a polar display of the optical transfer function (OTF). The results of numerical simulation showed that more high-frequency components existed in the defocused OTF curve when the exit pupil of the imaging system exhibited a random phase modulation. It proved the important role of the scattering diffuser in extending the DOF of imaging systems. For the reconstruction, a stack of point spread functions (PSFs) corresponding to different axial locations within a measurement range were superimposed to construct the stacked PSF. Then the large DOF image was recovered from a speckle pattern by deconvolution. In this proof-of-concept, we experimentally demonstrated the single-shot imaging with larger DOF using a thin glass scattering diffuser in both a single-lens imaging system and a microscopic imaging system.
Identifiants
pubmed: 31073149
doi: 10.1038/s41598-019-43593-w
pii: 10.1038/s41598-019-43593-w
pmc: PMC6509130
doi:
Types de publication
Journal Article
Langues
eng
Pagination
7165Subventions
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 61705141
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 61805152
Organisme : China Postdoctoral Science Foundation
ID : 2017M610544
Organisme : Shenzhen Science and Technology Innovation Commission
ID : JCYJ20170817095047279
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