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Underwater computational ghost imaging

  • Mingnan Le
  • , Gao Wang
  • , Huabin Zheng
  • , Jianbin Liu
  • , Yu Zhou
  • , Zhuo Xu

Research output: Contribution to journalArticlepeer-review

115 Scopus citations

Abstract

Since the quality of underwater classical optical imaging is constrained by the absorptive and scattering nature for underwater environment, it is a challenging task to obtain long distance imaging. Ghost imaging is a second-order correlation imaging method using coincidence measurement, which has the advantages of disturbance-free and wider angle of view (AOV), which can effectively improve the imaging result. We have investigated the computational ghost imaging under the underwater conditions for different turbidities and from different angles. The reconstruction obtained by computational ghost imaging can be rather desirable, in the scenarios that the classical optical imaging method completely fails. Moreover, the underwater computational ghost imaging can bear a wide range of AOV, where the obtained imaging results can be satisfiable in regardless of the detector’s locations. This result brings a better alternative for underwater optical imaging.

Original languageEnglish
Pages (from-to)22859-22868
Number of pages10
JournalOptics Express
Volume25
Issue number19
DOIs
StatePublished - 18 Sep 2017

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