Presentation
13 March 2024 NeuWS: neural wavefront shaping for guidestar-free imaging through static and dynamic optical aberrations
Author Affiliations +
Abstract
This talk describes our recently-developed guidestar-free approach to imaging through scattering and other optical aberrations; neural wavefront shaping (NeuWS). NeuWS 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.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher Metzler, Ashok Veeraraghavan, Brandon Y. Feng, Haiyun Guo, Mingyang Xie, Vivek Boominathan, and Manoj K. Sharma "NeuWS: neural wavefront shaping for guidestar-free imaging through static and dynamic optical aberrations", Proc. SPIE PC12851, Adaptive Optics and Wavefront Control for Biological Systems X, PC1285107 (13 March 2024); https://doi.org/10.1117/12.3006249
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KEYWORDS
Wavefronts

Image restoration

Image sensors

Light sources and illumination

Modulation

Optical aberrations

Scattering

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