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Imaging through the Atmosphere using Turbulence Mitigation Transformer. (arXiv:2207.06465v1 [eess.IV])
July 15, 2022, 1:12 a.m. | Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
cs.CV updates on arXiv.org arxiv.org
Restoring images distorted by atmospheric turbulence is a long-standing
problem due to the spatially varying nature of the distortion, nonlinearity of
the image formation process, and scarcity of training and testing data.
Existing methods often have strong statistical assumptions on the distortion
model which in many cases will lead to a limited performance in real-world
scenarios as they do not generalize. To overcome the challenge, this paper
presents an end-to-end physics-driven approach that is efficient and can
generalize to real-world …
More from arxiv.org / cs.CV updates on arXiv.org
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