Abstract
In this paper, a hybrid prediction algorithm is designed to improve the histogram shifting based reversible watermarking method. This algorithm not only uses the local information near a pixel, but also utilizes the global information of the whole image. As a result, it produces a sharper histogram for watermark embedding. In addition, we enable the use of sorting idea by introducing an estimation function of the hybrid prediction. Experimental results illustrate that the proposed watermarking method outperforms many recently proposed methods.
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Acknowledgements
This work was supported by the National Grand Fundamental Research 973 Program of China under Grant No.A001200907, the Planned Science and Technology Project of Shaanxi Province 2009K08-38, the National Natural Science Foundation of China under contract No.61101250 and the Natural Science Basic Research Plan in Shaanxi Province of China (Program No.2010JQ8026).
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Wang, X., Pei, Q., Gao, X., Guo, Z. (2013). Reversible Image Watermarking Using Hybrid Prediction. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_45
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DOI: https://doi.org/10.1007/978-1-4614-3501-3_45
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