Abstract
In this paper, we present a reversible watermarking scheme for high-fidelity applications. An improved histogram shifting technique is employed in this method to increase the embedding capacity and ameliorate the visual quality of the watermarked image. The method ensures that the modification of each pixel value is at most 1 in single pass embedding. In addition, two criteria, “near-lossless” and “almost-lossless”, are used to evaluate the fidelity of our method. Experimental results and performance comparison with other recently proposed reversible watermarking schemes clearly demonstrate that our method outperforms the previous ones.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Fridrich, J., Goljan, M., Du, R.: Lossless data embedding - new paradigm in digital watermarking. EURASIP Journal on Applied Signal Processing 2002(2), 185–196 (2002)
Tian, J.: Reversible data embedding using a difference expansion. IEEE Trans. Circuits Syst. Video Technol. 13(8), 890–896 (2003)
Lee, S., Yoo, C., Kalker, T.: Reversible image watermarking based on integer-to-integer wavelet transform. IEEE Trans. Inf. Forens. Security 2(3), 321–330 (2007)
Celik, M.U., Sharma, G., Tekalp, A.M., Saber, E.: Lossless generalized-LSB data embedding. IEEE Trans. Image Process. 14(2), 253–266 (2005)
Alattar, A.: Reversible watermark using the difference expansion of a generalized integer transform. IEEE Trans. Image Process. 13(8), 1147–1156 (2004)
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)
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)
Ni, Z., Shi, Y.Q., Ansari, N., Su, W.: Reversible data hiding. IEEE Trans. Circuits Syst. Video Technol. 16(3), 354–362 (2006)
Kim, K.S., Lee, M.J., Lee, H.Y., Lee, H.K.: Reversible data hiding exploiting spatial correlation between sub-sampled images. Pattern Recognition 42(11), 3083–3096 (2009)
Tai, W.L., Yeh, C.M., Chang, C.C.: Reversible data hiding based on histogram modification of pixel differences. IEEE Trans. Circuits Syst. Video Technol. 19(6), 906–910 (2009)
Chen, K., Ramabadran, T.: Near-lossless compression of medical images through entropy-coded DPCM. IEEE Trans. Med. Imag. 13(3), 538–548 (1994)
Karray, L., Rioul, O., Duhamel, P.: L infinity -coding of images: a confidence interval criterion. In: Proc. IEEE ICIP, vol. 2, pp. 888–892 (1994)
He, S., Kirovski, D., Wu, M.: High-fidelity data embedding for image annotation. IEEE Trans. Image Process. 18(2), 429–435 (2009)
Ke, L., Marcellin, M.: Near-lossless image compression: minimum-entropy, constrained-error DPCM. IEEE Trans. Image Process. 7(2), 225–228 (1998)
Coatrieux, G., Le Guillou, C., Cauvin, J.M., Roux, C.: Reversible watermarking for knowledge digest embedding and reliability control in medical images. IEEE Trans. Inf. Technol. Biomed. 13(2), 158–165 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, X., Li, X., Yang, B., Guo, Z. (2009). A Reversible Watermarking Scheme for High-Fidelity Applications. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_54
Download citation
DOI: https://doi.org/10.1007/978-3-642-10467-1_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
eBook Packages: Computer ScienceComputer Science (R0)