A statistical learning approach for underwater color restoration with adaptive training based on visual attention

@article{PonceHinestroza2016ASL,
  title={A statistical learning approach for underwater color restoration with adaptive training based on visual attention},
  author={A.-N Ponce-Hinestroza and L. Abril Torres-Mendez and Paulo Lilies Drews},
  journal={OCEANS 2016 MTS/IEEE Monterey},
  year={2016},
  pages={1-6}
}
In most artificial vision systems the quality of acquired images is directly related with the amount of information that can be obtained from them, and, particularly in underwater robotics applications involving monitoring and inspection tasks this is crucial. Statistical learning methods like Markov Random Fields with Belief Propagation (MRF-BP) provide a… CONTINUE READING