Abstract
In this paper, we present a revised reversible watermarking scheme based on the following techniques: difference expansion, sorting, and histogram shifting. The scheme emphasizes on low distortion with appointed capacity. Experimental results show that this novel algorithm keeps high PSNR with required payload, and its performance is better than some state-of-the-art algorithms.
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Shi, Y.Q., Ni, Z., Zou, D., Liang, C., Xuan, G.: Lossless data hiding: fundamentals, algorithms and applications. In: Proc. IEEE ISCAS, vol. 2, pp. 33–36 (2004)
Tian, J.: Reversible data embedding using a difference expansion. IEEE Trans. Circuits Syst. Video Technol. 13(8), 890–896 (2003)
Kamstra, L., Heijmans, H.J.A.M.: Reversible data embedding into images using wavelet techniques and sorting. IEEE Trans. Image Process. 14(12), 2082–2090 (2005)
Thodi, D.M., Rodriguez, J.J.: Expansion embedding techniques for reversible watermarking. IEEE Trans. Image Process. 16(3), 721–730 (2007)
Hu, Y., Lee, H.K., Li, J.: DE-based reversible data hiding with improved overflow location map. IEEE Trans. Circuits Syst. Video Technol. 19(2), 250–260 (2009)
Weng, S., Zhao, Y., Pan, J.S., Ni, R.: Reversible watermarking based on invariability and adjustment on pixel pairs. IEEE Signal Process. Lett. 15, 721–724 (2008)
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Peng, F., Luo, Y. (2010). Improved DE-Based Reversible Watermarking Using Sorting and Histogram Shifting. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_56
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DOI: https://doi.org/10.1007/978-3-642-15702-8_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15701-1
Online ISBN: 978-3-642-15702-8
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