High capacity reversible data hiding based on histogram shifting and non-local means

@article{Conotter2009HighCR,
  title={High capacity reversible data hiding based on histogram shifting and non-local means},
  author={Valentina Conotter and Giulia Boato and Marco Carli and Karen O. Egiazarian},
  journal={2009 International Workshop on Local and Non-Local Approximation in Image Processing},
  year={2009},
  pages={130-136}
}
In this paper we propose a new reversible data hiding framework which applies prediction in the embedding procedure by suitably modifying the prediction errors and exploits non-local similarity in the prediction phase to estimate the to-be-predicted value. This results in a scheme which can be jointly used with different predictors and allows reaching high embedding capacity while preserving a high image quality. Extensive simulations demonstrate the effectiveness of the proposed approach. 

References

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1 Excerpt

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