CNN-based difference-controlled adaptive non-linear image filters

@article{Rekeczky1998CNNbasedDA,
  title={CNN-based difference-controlled adaptive non-linear image filters},
  author={Csaba Rekeczky and Tam{\'a}s Roska and Akio Ushida},
  journal={I. J. Circuit Theory and Applications},
  year={1998},
  volume={26},
  pages={375-423}
}
In this paper, we develop a common cellular neural network framework for various adaptive nonlinear filters based on robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference-controlled nonlinear CNN templates while the self-adjusting property is ensured by simple analogic (analog and logic) CNN algorithms. Two adaptive strategies are shown for the order statistic class. When applied to the images distorted by impulse noise both give… CONTINUE READING

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