Abstract
A novel digital watermarking scheme featuring centroid-based sectoring is proposed in this paper. To get higher robustness against geometric attacks, such as rotation, scaling, and translation (RST), a delicate synchronization mechanism was developed and incorporated into the proposed approach. During the process of watermark embedding, the original image was partitioned into sectors based on the image centroid. Synchronization information as well as the message bits is then embedded into these sectors. With the help of the centroid-based sectoring and synchronization information, the proposed approach is capable of restoring the correct sectoring even if it has experienced severe geometric distortion. This attribute ensures the correct recovery of embedded watermarks and contributes to the robustness of the proposed scheme. A series of experiments have been conducted to verify the feasibility and effectiveness of the proposed approach. Experimental results show that the proposed scheme possesses good robustness against RST attacks and considerable robustness against other common image processing attacks.
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References
Tanaka K, Nakamura Y, Matsui K. Embedding secret information into dithered multilevel image. In: Proceedings of IEEE Military Communications Conference. CA: IEEE, 1990. 216–220
Langelaar G C, Setyawan I, Lagendijk R L. Watermarking digital image and video data: a state-of-the-art overview. IEEE Signal Proc Mag, 2000, 17: 20–46
Zeng W, Liu B. A statistical watermark detection technique without using original images for resolving rightful ownerships of digital images. IEEE Trans Image Process, 1999, 8: 1534–1548
Petitcolas F A P, Anderson R J, Kuhn M G. Attacks on copyright marking systems. In: Proceedings of Workshop Information Hiding. Portland: Springer-Verlag, 1998. 15–17
Pereira S, Ruanaidh J, Deguillaume F, et al. Template based recovery of fourier-based watermarks using log-polar and log-Log maps. In: Proceedings of IEEE International Conference on Multimedia Computing and Systems (ICMCS99). Florence: IEEE, 1999. 870–874
Kutter M. Watermarking resisting to translation, rotation and scaling. In: Proceedings of SPIE International Symposium on Voice, Video, and Data Communication. Boston: Society of Photo Optical, 1998. 423–431
Zhao Y, Lagendijk R L. Video watermarking scheme resistant to geometric attacks. In: Proceedings of IEEE International conference on image processing(ICIP2002). USA: IEEE, 2002. 22–25
Oruanaidh J, Pun T. Rotation, scale and translation invariant spread spectrum digital image watermarking. Signal Process, 1998, 66: 303–317
Lin C Y, Wu M, Bloom J A, et al. Rotation, scale, and translation resilient watermarking for images. IEEE Trans Image Process, 2001, 10: 767–782
Zheng D, Zhao J, Saddik A El. RST-invariant digital image watermarking based on log-polar mapping and phase correlation. IEEE Trans Circ Syst Vid, 2003, 13: 753–765
Solachidis V, Pitas I. Circularly symmetric watermark embedding in 2-D DFT domain. IEEE Trans Image Process, 2001, 10: 1741–1753
Inoue H, Miyazaki A, Yamamoto A, et al. A digital watermark technique based on the wavelet transform and its robustness on image compression and transformation. IEICE Trans Fund Electr, 1999, E82-A: 2–10
Bas P, Chassery J-M, Macq B. Geometrically invariant watermarking using feature points. IEEE Trans Image Process, 2002, 11: 1014–1028
Qi X, Qi J. Image content-based geometric transformation resistant watermarking approach. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP2005). Philadelphia: IEEE, 2005. 829–832
Qi X, Qi J. A robust content-based digital image watermarking scheme. Signal Process, 2007, 87: 1264–1280
Tang C W, Hang H M. A feature-based robust digital image watermarking scheme. IEEE Trans Signal Process, 2003, 51: 950–959
Cox I J, Kilian J, Leighton T, et al. Secure spread spectrum watermarking for multimedia. IEEE Trans Image Process, 1997, 6: 1673–1687
Davoine F, Bas P, Hebert P-A, et al. Watermarking et reistance aux deformations geometriques. In: Proceedings of Compression et Representation des Signaux Audiovisuels. France, 1999
Hu M-K. Visual pattern recognition by moment invariants. IRE Trans Inform Theory, 1962, IT-8: 179–187
Alghoniemy M, Tewfik A H. Geometric invariance in image watermarking. IEEE Trans Image Process, 2004, 13: 145–153
Dong P, Brankov J G, Galatsanos N P, et al. Digital watermarking robust to geometric distortions. IEEE Trans Image Process, 2005, 14: 2140–2150
Farzam M, Shirani S. A robust multimedia watermarking technique using Zernike transform. In: Proceedings of IEEE International Workshop Multimedia Signal Processing. France: IEEE, 2001. 529–534
Kim H S, Lee H K. Invariant image watermark using Zernike moments. IEEE Trans Circ Syst Vid, 2003, 13: 766–775
Xin Y, Liao S, Pawlak M. Circularly orthogonal moments for geometrically robust image watermarking. Pattern Recogn, 2007, 40: 3740–3752
Zhao Y, Pan J-S, Zhu Z F. RST resilient multi-bit image watermarking based on bitplane centroids. Imaging Sci J, 2008, 56: 41–48
Awrangjeb M, Murshed M. Robust signature-based geometric invariant copyright protection. In: Proceedings of IEEE International Conference on Image Processing (ICIP2006). USA: IEEE, 2006. 1961–1964
Chen B, Wornell G W. Preprocessed and postprocessed quantization index modulation methods for digital watermarking. In: Proceedings of SPIE: Security and Watermarking of Multimedia Contents II. San Jose: SPIE, 2000. 48–59
Petitcolas F A P. StirMark 3.1. http://www.cl.cam.ac.uk/fapp2/watermarking/stirmark/. 1999
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Zhao, Y., Ni, R. & Zhu, Z. RST transforms resistant image watermarking based on centroid and sector-shaped partition. Sci. China Inf. Sci. 55, 650–662 (2012). https://doi.org/10.1007/s11432-011-4470-x
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DOI: https://doi.org/10.1007/s11432-011-4470-x