The dissipation and bending of light waves by atmospheric turbulence adversely affects infrared imaging, leading to grayscale drift, distortion, and blurring. A deep learning method has been developed to both extract the two-dimensional atmospheric turbulence strength fields and obtain clear and stable images from turbulence-distorted infrared images.
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This is a summary of: Wang, Y. et al. Revelation of hidden 2D atmospheric turbulence strength fields from turbulence effects in infrared imaging. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00498-z (2023).
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An imaging-based approach to measure atmospheric turbulence. Nat Comput Sci 3, 673–674 (2023). https://doi.org/10.1038/s43588-023-00501-7
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DOI: https://doi.org/10.1038/s43588-023-00501-7
