
A method for recovering the underlying irradiance from a collection of images corrupted by atmospheric turbulence, by modeling the deformation using optical flow and a novel flow inversion algorithm, without requiring an explicit initialization of the reference template.


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recovering-irradiance-from-images-corrupted-by-atmospheric-turbulence-using-diffeomorphic-template-registration


Recovering Irradiance from Images Corrupted by Atmospheric Turbulence using Diffeomorphic Template Registration


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A novel framework, DeTurb, that combines geometric restoration using deformable 3D convolutions and feature enhancement with 3D Swin Transformers to effectively mitigate the effects of atmospheric turbulence in long-range imaging.


restoring-long-range-videos-degraded-by-atmospheric-turbulence-using-deformable-3d-convolutions-and-3d-swin-transformers


Restoring Long-Range Videos Degraded by Atmospheric Turbulence using Deformable 3D Convolutions and 3D Swin Transformers
