Context embedding for raster-scan rhombus based reversible watermarking
Proceedings of the first ACM workshop on Information hiding and multimedia security
Adaptive reversible watermarking with improved embedding capacity
Journal of Systems and Software
Reversible watermarking scheme for medical image based on differential evolution
Expert Systems with Applications: An International Journal
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This paper proposes a low-distortion transform for prediction-error expansion reversible watermarking. The transform is derived by taking a simple linear predictor and by embedding the expanded prediction error not only into the current pixel but also into its prediction context. The embedding ensures the minimization of the square error introduced by the watermarking. The proposed transform introduces less distortion than the classical prediction-error expansion for complex predictors such as the median edge detector or the gradient-adjusted predictor. Reversible watermarking algorithms based on the proposed transform are analyzed. Experimental results are provided.