NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
Science Advances — 2023
Diffraction-limited optical imaging through scattering media has the potential to transform many applications such as airborne and space-based imaging (through the atmosphere), bioimaging (through skin and human tissue), and fiber-based imaging (through fiber bundles). Existing wavefront shaping methods can image through scattering media and other obscurants by optically correcting wavefront aberrations using high-resolution spatial light modulators—but these methods generally require (i) guidestars, (ii) controlled illumination, (iii) point scanning, and/or (iv) statics scenes and aberrations. We propose neural wavefront shaping (NeuWS), a scanning-free wavefront shaping technique that integrates maximum likelihood estimation, measurement modulation, and neural signal representations to reconstruct diffraction-limited images through strong static and dynamic scattering media without guidestars, sparse targets, controlled illumination, nor specialized image sensors. We experimentally demonstrate guidestar-free, wide field-of-view, high-resolution, diffraction-limited imaging of extended, nonsparse, and static/dynamic scenes captured through static/dynamic aberrations.
@article{ Feng2023NeuWS,
author = { Feng, Brandon Y. and Guo, Haiyun and Xie, Mingyang and Boominathan, Vivek and Sharma, Manoj K. and Veeraraghavan, Ashok and Metzler, Christopher A. },
title = { NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media },
journal = { Science Advances },
year = { 2023 },
}