Convergence characteristics of nonlinear phase retrieval

Jen Tang Lu, Chien Hung Lu, Jason W. Fleischer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We theoretically and experimentally investigate the convergence characteristics of a phase retrieval algorithm using nonlinear diversity. The nonlinear algorithm has a non-monotonic convergence profile, giving a criterion for minimum phase error in the reconstruction.

Original languageEnglish (US)
Title of host publicationImaging and Applied Optics - Digital Holography and Three-Dimensional Imaging, DH 2014
PublisherOptical Society of America (OSA)
ISBN (Print)9781557523082, 9781557523082
DOIs
StatePublished - 2014
EventDigital Holography and Three-Dimensional Imaging, DH 2014 - Seattle, WA, United States
Duration: Jul 13 2014Jul 17 2014

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherDigital Holography and Three-Dimensional Imaging, DH 2014
CountryUnited States
CitySeattle, WA
Period7/13/147/17/14

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Lu, J. T., Lu, C. H., & Fleischer, J. W. (2014). Convergence characteristics of nonlinear phase retrieval. In Imaging and Applied Optics - Digital Holography and Three-Dimensional Imaging, DH 2014 (Optics InfoBase Conference Papers). Optical Society of America (OSA). https://doi.org/10.1364/dh.2014.dm1b.4