
Efficient color imaging through unknown opaque scattering layers via physics-aware learning
Author(s) -
Shuo Zhu,
Enlai Guo,
Jie Gu,
Qianying Cui,
Chenyin Zhou,
Lianfa Bai,
Jing Han
Publication year - 2021
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.441326
Subject(s) - opacity , scattering , optics , light scattering , inverse scattering problem , artificial intelligence , computer science , computer vision , diffuser (optics) , physics , light source
Color imaging with scattered light is crucial to many practical applications and becomes one of the focuses in optical imaging fields. More physics theories have been introduced in the deep learning (DL) approach for the optical tasks and improve the imaging capability a lot. Here, an efficient color imaging method is proposed in reconstructing complex objects hidden behind unknown opaque scattering layers, which can obtain high reconstruction fidelity in spatial structure and accurate restoration in color information by training with only one diffuser. More information is excavated by utilizing the scattering redundancy and promotes the physics-aware DL approach to reconstruct the color objects hidden behind unknown opaque scattering layers with robust generalization capability by an efficient means. This approach gives impetus to color imaging through dynamic scattering media and provides an enlightening reference for solving complex inverse problems based on physics-aware DL methods.