Abstract

A computationally efficient radiative transport model is presented that predicts a camera measurement and accounts for the light reflected and blocked by an object in a scattering medium. The model is in good agreement with experimental data acquired at the Sandia National Laboratory Fog Chamber Facility (SNLFC). The model is applicable in computational imaging to detect, localize, and image objects hidden in scattering media. Here, a statistical approach was implemented to study object detection limits in fog.

© 2022 Optica Publishing Group

Light transport with weak angular dependence in fog

Brian Z. Bentz, Brian J. Redman, John D. van der Laan, Karl Westlake, Andrew Glen, Andres L. Sanchez, and Jeremy B. Wright
Opt. Express 29(9) 13231-13245 (2021)

Transport properties of optically thin solid dielectrics from frequency correlations of randomly scattered light

Geoffroy J. Aubry, Nathan Fuchs, Sergey Skipetrov, and Frank Scheffold
Opt. Lett. 47(6) 1439-1441 (2022)

Probing coherence Stokes parameters of three-component light with nanoscatterers

Mengwen Guo, Andreas Norrman, Ari T. Friberg, and Tero Setälä
Opt. Lett. 47(10) 2566-2569 (2022)

Quantitative demonstration of the superiority of circularly polarized light in fog environments

Sara Peña-Gutiérrez, Maria Ballesta-Garcia, Pablo García-Gómez, and Santiago Royo
Opt. Lett. 47(2) 242-245 (2022)

Non-line-of-sight imaging in the presence of scattering media using phasor fields

Pablo Luesia, Miguel Crespo, Adrian Jarabo, and Albert Redo-Sanchez
Opt. Lett. 47(15) 3796-3799 (2022)