Abstract

We derive a physically accurate and computationally efficient Monte Carlo algorithm that can be used to evaluate the complex statistics of speckle fields in scattering media. This allows evaluating and studying second-order speckle statistics, such as the memory effect, for a large variety of material and imaging parameters, including turbid materials. This helps bridge the gap between analytical formulas, derived under restrictive assumptions such as diffusion, and empirical lab measurements. It also opens up the possibility for discovering new types of correlation effects, and using those to improve our ability to see through and focus into random media.

© 2019 SPIE/OSA

PDF Article
More Like This
Exploiting speckle statistics in random media beyond the diffusion limit

Chen Bar, Marina Alterman, Ioannis Gkioulekas, and Anat Levin
CTu4A.4 Computational Optical Sensing and Imaging (COSI) 2019

Memory effect of transmission eigenchannels in random media

Hasan Yılmaz, Chia Wei Hsu, Alexey Yamilov, and Hui Cao
FF3B.3 CLEO: QELS_Fundamental Science (CLEO_QELS) 2019

Diffuse Optical Tomography with polarized light: a GPU-accelerated polarization-sensitive Monte Carlo simulations for efficient Sensitivity Kernel computation

Hind Oulhaj, Julien Wojak, Ugo Tricoli, Callum M. Macdonald, Vadim A. Markel, and Anabela Da Silva
11074_30 European Conference on Biomedical Optics (ECBO) 2019

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription