Single exposure lensless subpixel phase imaging

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
15 Downloads (Pure)

Abstract

Lensless phase-retrieval system with phase modulation of free propagation wavefront is proposed. Contrary to the traditional super-resolution phase-retrieval, the method in this paper requires a single observation only and uses advanced SR-SPAR iterative technique. Successful object imaging relies on modulation of the object wavefront with a random phase-mask, which generates enlarged intensity patterns, allowing us to extract more information than it is possible without such a mask. The achieved high-quality super-resolution phase-imaging is demonstrated by simulation-tests produced with the parameters corresponding to the physical prototype of the considered optical system.

Original languageEnglish
Title of host publicationDigital Optical Technologies 2019
EditorsBernard C. Kress, Peter Schelkens
PublisherSPIE, IEEE
Number of pages9
ISBN (Electronic)9781510628038
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in conference proceedings
EventDigital Optical Technologies - Munich, Germany
Duration: 24 Jun 201926 Jun 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11062
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceDigital Optical Technologies
Country/TerritoryGermany
CityMunich
Period24/06/1926/06/19

Funding

Jane and Aatos Erkko Foundation and Finland Centennial Foundation funded Computational Imaging without Lens (CIWIL) project. Academy of Finland, project no. 287150, 2015-2019.

Keywords

  • Diffractive optical element
  • Lensless imaging
  • Lensless system design
  • Phase imaging
  • Phase measurement
  • Phase retrieval
  • Sparse representation
  • Sub-pixel resolution

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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