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Learning-based real-time imaging through dynamic scattering media

Engineering and Technology

Learning-based real-time imaging through dynamic scattering media

H. Liu, F. Wang, et al.

This groundbreaking research, conducted by Haishan Liu, Fei Wang, Ying Jin, Xianzheng Ma, Siteng Li, Yaoming Bian, and Guohai Situ, introduces a revolutionary learning-based technique for real-time, non-invasive imaging through dense scattering media. Demonstrating exceptional image quality and speed, this study pushes the boundaries of conventional imaging methods.

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Playback language: English
Abstract
Imaging through dynamic scattering media is a challenging problem with broad applications. This study proposes a comprehensive learning-based technique for real-time, non-invasive, incoherent imaging of real-world objects through dense and dynamic scattering media, demonstrating its capability through experiments with turbid water and natural fog. The technique surpasses existing approaches in image quality, inference speed, and memory consumption.
Publisher
Light: Science & Applications
Published On
Apr 01, 2024
Authors
Haishan Liu, Fei Wang, Ying Jin, Xianzheng Ma, Siteng Li, Yaoming Bian, Guohai Situ
Tags
dynamic scattering
non-invasive imaging
real-time
turbid water
natural fog
image quality
learning-based technique

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