Dual-Domain Cooperative Recovery of Atmospheric Turbulence Degradation Images
Jianxiao Qiu,
Runbo Jiang,
Wenwen Meng
et al.
Abstract:Atmospheric turbulence is a key factor contributing to data distortion in mid-to-long-range target observation tasks. Neural networks have become a powerful tool for dealing with such problems due to their strong ability to fit nonlinearities in the spatial domain. However, the degradation in data is not confined solely to the spatial domain but is also present in the frequency domain. In recent years, the academic community has come to recognize the significance of frequency domain information within neural n… Show more
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