Abstract
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.
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Uyyala, R., Prasad, M.V.N.K., Pal, R. (2017). Selected Context Dependent Prediction for Reversible Watermarking with Optimal Embedding. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-10-2107-7_4
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DOI: https://doi.org/10.1007/978-981-10-2107-7_4
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