Sparse blind deconvolution for imaging through layered media


Journal Article

© 2017 Optical Society of America. When imaging through layered media such as walls, the contents and thickness of the wall layers are generally not known a priori. Furthermore, compensating for their effects can be computationally intensive, as this generally requires modelling the transmission and reflection of complex fields through layered media. We propose a blind deconvolution method that does not require knowledge of the wall layers by directly estimating a circularly symmetric Green’s function that models the transmission through the wall layers, simultaneously addressing both problems. We experimentally demonstrate this technique by measuring the reflection through a multilayered structure of building materials at the K-band microwave frequencies, and using the blind deconvolution method to find the image of a reflective object behind the layers.

Full Text

Duke Authors

Cited Authors

  • Marks, DL; Yurduseven, O; Smith, DR

Published Date

  • December 20, 2017

Published In

Volume / Issue

  • 4 / 12

Start / End Page

  • 1514 - 1521

International Standard Serial Number (ISSN)

  • 2334-2536

Digital Object Identifier (DOI)

  • 10.1364/OPTICA.4.001514

Citation Source

  • Scopus