Improving reconstruction of targets hidden in scattering media by introducing the Lucy-Richardson deconvolution algorithm into a system of multiview optical projections

Ariela Tsabary, David Abookasis

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A method that combines Lucy-Richardson deconvolution algorithm (LRA) with a multiview projection setup to improve imaging reconstruction of objects embedded in scattering media is presented. In the first step, the medium was illuminated with a laser beam and single-shot multiple images of the object were obtained from different viewpoints. Next, the above procedure was performed under the same conditions but only the medium, without the object, was illuminated by a light point source to obtain the system PSF. Third, each sub-image of the object was digitally cropped, extracted from the array, and deconvolved with the average PSF image following the LRA. Finally, all the sub-deconvolved images were shifted to a common point and superimposed to reveal the shape of the hidden object. Various setup conditions including medium turbidity, thickness, target shape, and illumination state were tested and compared. Results indicate an effective performance of the proposed method.

Original languageEnglish
Pages (from-to)850-860
Number of pages11
JournalJournal of Modern Optics
Volume69
Issue number15
DOIs
StatePublished - 2022

Keywords

  • Imaging through turbid media
  • digital filtering
  • image quality metrics
  • lens array
  • linear and circular polarization
  • multiple viewpoints

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