Information embedding codes matched to locally stationary Gaussian image models

@inproceedings{Mihak2002InformationEC,
  title={Information embedding codes matched to locally stationary Gaussian image models},
  author={Mehmet Kivanç Mihçak and Pierre Moulin},
  booktitle={ICIP},
  year={2002}
}
We have designed a practical information embedding code for images. The method assumes a locally i.i.d. (independent identically distributed) Gaussian source model for wavelet image coefficients. The proposed algorithm is developed based on this model and recent information t h e oretic results on information hiding for parallel Gaussian channels [4]. Promising results have been obtained on test images. 

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