Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution

Jerome Gilles, Tristan Dagobert, Carlo De Franchis
11/12/2024
cs.CV

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Abstract

A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind deconvolution block, an elastic registration block and a temporal filter block. The algorithms are tested on real images acquired in the desert in New Mexico by the NATO RTG40 group.

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Cite this paper

@article{gilles2024atmospheric,
  title  = {Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution},
  author = {Jerome Gilles and Tristan Dagobert and Carlo De Franchis},
  year   = {2024},
  eprint = {2411.07578},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.07578v1}
}

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