Monte-Carlo simulation of the memory effect in random media beyond the diffusion limit

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.This work was supported by ERC 635537, ISF 1046-14, Ollendorff Minerva Center of the Technion, DARPA REVEAL HR0011-16-C-0028 and NSF Expeditions CCF-1730147