Selected Context Dependent Prediction for Reversible Watermarking with Optimal Embedding

  • Ravi UyyalaEmail author
  • Munaga V. N. K. Prasad
  • Rajarshi Pal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)


This paper presents a novel prediction error expansion (PEE) based reversible watermarking using 3 \(\times \) 3 neighborhood of a pixel. Use of a good predictor is important in this kind of watermarking scheme. In the proposed predictor, the original pixel value is predicted based on a selected set, out of the eight neighborhood of a pixel. Moreover, the value of prediction error expansion (PEE) is optimally divided between current pixel and top-diagonal neighbor such that distortion remains minimum. Experimental results show that the proposed predictor with optimal embedding outperforms several other existing methods.


Reversible watermarking Prediction error expansion Optimized embedding Watermarking scheme 


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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  • Ravi Uyyala
    • 1
    • 2
    Email author
  • Munaga V. N. K. Prasad
    • 1
  • Rajarshi Pal
    • 1
  1. 1.Institute for Development and Research in Banking TechnologyHyderabadIndia
  2. 2.SCIS, University of HyderabadHyderabadIndia

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