Abstract
In this paper, a robust non-blind watermarking scheme based on Curvelet transform is proposed. This work extends the work proposed by Leung [1] to increase the quality of watermarked image. The proposed algorithm modifies the watermark extracting rule and adds a Human Visual System (HVS model). The experimental results demonstrate that the proposed algorithm can provide great robustness against most image processing methods.
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
Leung, H.Y., Cheng, L.M., Cheng, L.L.: A Robust Watermarking Scheme using Selective Curvelet Coefficients. In: 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Harbin, China, pp. 465–468 (2008)
Lutz, R.: Software Engineering for Safety: A Roadmap, in The Future of Software Engineering. In: Finkelstein, A. (ed.) ICSE 2000, pp. 213–224. ACM Press, New York (2000)
Sindre, G., Opdahl, A.L.: Eliciting security requirements by misuse cases. In: Proc. 37th Technology of Object-Oriented Languages and Systems (TOOLS-37 Pacific 2000), Sydney, Australia, pp. 120–131 (2000)
Hermann, D.S.: Software Safety and Reliability: Techniques, Approaches, and Standards of Key Industrial Sectors. Wiley-IEEE Computer Society Press (2000)
Fenton, N.E., Neil, M.: A strategy for improving safety related software engineering standards. IEEE Trans on Software Eng. 24, 1002–1013 (1998)
Candes, E.J., Donoho, D.L.: New tight frames of curvelets and optimal repesentations of objects with C2 singularities. Communications on Pure and Applied Mathematics 57, 219–266 (2004)
Candes, E.J., Donoho, D.L.: Fast Discrete Curvelet Transform. Applied and Computational Mathmatics, California Institute of Technology, 1–43 (2005)
He, K.-f., Gao, J., Hu, L.-m., Gao, H.-y.: Watermarking for images using the HVS and SVD in the wavelet domain. In: Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, pp. 2352–2356 (2006)
Maity, S.P., Kundu, M.K.: An ImageWatermarking Scheme using HVS Characteristics and Spread Transform. In: Proceedings of the 17th International Conference on Pattern Recognition, vol. 4, pp. 869–871 (2004)
Delaigle, J.F., Vleeschouwer, C.D., Macq, B.: Watermarking Algorithm Based on A Human Visual Model. Signal Processing 66, 319–335 (1998)
Podilchuk, C.I., Zeng, W.: Image-adaptive watermarking using visual models. IEEE Journal on Selected Areas in Communications 16, 525–538 (1998)
Hannigan, B.T., Reed, A., Bradley, B.: Digital Watermarking Using Improved Human Visual System Model. In: Proc. SPIE Electronic Image, Security and Watermarking of Multimedia Content, San Jose, CA, vol. 4314, pp. 468–474 (2001)
Taoa, P., Dexterb, S., Eskiciogluc, A.M.: Robust Digital Image Watermarking in Curvelet Domain. In: Proceedings of the SPIE, vol. 6819, pp. 68191B–68191B-12 (2008)
Xiao, Y., Cheng, L.M., Cheng, L.L.: A Robust Image Watermarking Scheme Based on A Novel HVS Model in Curvelet Domain. In: 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Harbin, China, pp. 343–346 (2008)
Cornsweet, T.N.: Visual Perception, ch. 12, pp. 311–364. Academic press, London (1970)
Mannos, J.L., Sarkrison, D.J.: The Effects of a Visual Fidelity Criterion on the Encoding of Images. IEEE Transactions on Information Theory 20, 525–536 (1974)
Campbell, F.W., Kulikowski, J.J., Levinson, J.: Orientational Selectivity of The Human Visual System. The Journal of Physiology 187, 437–445 (1966)
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
Leung, H.Y., Cheng, L.M., Cheng, L.L. (2009). Digital Watermarking Schemes Using Multi-resolution Curvelet and HVS Model. In: Ho, A.T.S., Shi, Y.Q., Kim, H.J., Barni, M. (eds) Digital Watermarking. IWDW 2009. Lecture Notes in Computer Science, vol 5703. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03688-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-03688-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03687-3
Online ISBN: 978-3-642-03688-0
eBook Packages: Computer ScienceComputer Science (R0)