We demonstrate the use of phase-space (e.g. light field) imaging for 3D localization of multiple point sources inside scattering material. The effect of scattering is to spread angular (spatial frequency) information, which can be modeled by a multi-slice forward model in phase space. We propose a sparsity-constrained atomic norm reconstruction algorithm in order to further constrain the problem. By using 4D measurements for 3D reconstruction, the dimensionality mismatch provides significant robustness to multiple scattering effects, with either static or dynamic diffusers.
Laura Waller, "3D computational imaging in scattering with light field datasets
(Conference Presentation)," Proc. SPIE 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 97200B (Presented at SPIE BiOS: February 13, 2016; Published: 28 June 2016); https://doi.org/10.1117/12.2207644.4848767884001.
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