A Robust Digital Watermarking Based on Local Complex Angular Radial Transform

• Autorzy: Niu, P.-P. , Wang, X.-Y. , Yang, H.-Y. , Wang, P. , Wang, A.-L.
• Języki publikacji: EN

Abstrakty

EN

Geometric distortions that cause displacement between embedding and detection are usually difficult for watermark to survive. It is a challenging work to design a robust image watermarking scheme against geometric distortions, especially for local geometric distortions. Based on probability density and complex angular radial transform theory, a new image watermarking algorithm robust to geometric distortions is proposed in this paper. We firstly extract the steady image feature points by using new image feature point detector, which is based on the probability density. Then we build the affine invariant local feature regions based on probability density auto-correlation matrix. And finally, we present a new image watermarking algorithm robust to geometric distortions, in which the digital watermark is embedded into the local complex angular radial transform (CART) coefficients. Experiments results show that the proposed image watermarking is not only invisible and robust against common image processing operations, but also robust against the geometric distortions.

Słowa kluczowe

EN

image watermarking; geometric distortions; probability density; complex angular radial transform

• Czasopismo: Fundamenta Informaticae
• Rocznik: 2014
• Tom: Vol. 135, nr 3
• Strony: 243--268
• Opis fizyczny: Bibliogr. 35 poz., fot., wykr.

Twórcy

autor

Niu, P.-P.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

autor

Wang, X.-Y.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China,

autor

Yang, H.-Y.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China,

autor

Wang, P.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

autor

Wang, A.-L.

• School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, P.R. China

Bibliografia

• [1] Sebastiano Battiato, Sabu Emmanuel, Adrian Ulges, and Marcel Worring. Multimedia in forensics, security, and intelligence. MultiMedia, IEEE, 19(1):17–19, Jan 2012.
• [2] Pei-Yu Lin, Jung-San Lee, and Chin-Chen Chang. Protecting the content integrity of digital imagery with fidelity preservation. TOMCCAP, 7(3):15, 2011.
• [3] Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang, and F. Davoine. Digital watermarking robust to geometric distortions. IEEE Transactions on Image Processing, 14(12):2140–2150, 2005.
• [4] Amitesh Kumar and V. Santhi. A review on geometric invariant digital image watermarking techniques. International Journal of Computer Applications, 12(9):31–36, 2011.
• [5] Dong Zheng, Yan Liu, Jiying Zhao, and Abdulmotaleb El-Saddik. A survey of rst invariant image watermarking algorithms. ACM Comput. Surv., 39(2):1–91, 2007.
• [6] Sven Wohlgemuth, Isao Echizen, Noboru Sonehara, and G. Muller. On privacy-compliant disclosure of personal data to third parties using digital watermarking. Journal of Information Hiding and Multimedia Signal Processing, 2(2):270–281, 2011.
• [7] J. Zhong and S. Huang. An enhanced multiplicative spread spectrum watermarking scheme. IEEE Trans. Circuits Syst. Video Techn., 16(12):1491–1506, 2006.
• [8] Amir Valizadeh and Z. Jane Wang. Correlation-and-bit-aware spread spectrum embedding for data hiding. IEEE Transactions on Information Forensics and Security, 6(2):267–282, 2011.
• [9] Amir Valizadeh and Z. Jane Wang. An improved multiplicative spread spectrum embedding scheme for data hiding. IEEE Transactions on Information Forensics and Security, 7(4):1127–1143, 2012.
• [10] Chih-Chin Lai and Cheng-Chih Tsai. Digital image watermarking using discrete wavelet transform and singular value decomposition. Instrumentation and Measurement, IEEE Transactions on, 59(11):3060–3063, Nov 2010.
• [11] E. D. Tsougenis, George A. Papakostas, Dimitris E. Koulouriotis, and Vassilios D. Tourassis. Performance evaluation of moment-based watermarking methods: A review. Journal of Systems and Software, 85(8):1864–1884, 2012.
• [12] Gouenou Coatrieux, Wei Pan, Nora Cuppens-Boulahia, Frédéric Cuppens, and Christian Roux. Reversible watermarking based on invariant image classification and dynamic histogram shifting. IEEE Transactions on Information Forensics and Security, 8(1):111–120, 2013.
• [13] Abdelhamid Benhocine, Lamri Laouamer, Laurent Nana, and Anca Christine Pascu. New images watermarking scheme based on singular value decomposition. Journal of Information Hiding and Multimedia Signal Processing, 4(1):9–18, 2013.
• [14] Ahmad A. Mohammad. A new digital image watermarking scheme based on schur decomposition. Multimedia Tools Appl., 59(3):851–883, 2012.
• [15] Leida Li, Shushang Li, Ajith Abraham, and Jeng-Shyang Pan. Geometrically invariant image watermarking using polar harmonic transforms. Inf. Sci., 199:1–19, 2012.
• [16] M. Barni. Effectiveness of exhaustive search and template matching against watermark desynchronization. Signal Processing Letters, IEEE, 12(2):158–161, Feb 2005.
• [17] Huajian Liu and Martin Steinebach. Improved fourier domain patchwork and template embedding using spatial masking. In IS&T/SPIE Electronic Imaging, volume 8303. International Society for Optics and Photonics, 2012.
• [18] Hui Zhang, Huazhong Shu, Gouenou Coatrieux, Jie Zhu, Q. M. Jonathan Wu, Yue Zhang, Hongqing Zhu, and Limin Luo. Affine legendre moment invariants for image watermarking robust to geometric distortions. IEEE Transactions on Image Processing, 20(8):2189–2199, 2011.
• [19] XiangyangWang, E.-No Miao, and Hong-Ying Yang. A new svm-based image watermarking using gaussianhermite moments. Appl. Soft Comput., 12(2):887–903, 2012.
• [20] Xiaolin Jia, Yanli Qi, Liping Shao, and Xiaobo Jia. A watermark algorithm based on svd and image geometric correction. In Systems and Informatics (ICSAI), 2012 International Conference on, pages 1861–1865. IEEE, 2012.
• [21] Jin S. Seo and Chang Dong Yoo. Image watermarking based on invariant regions of scale-space representation. IEEE Transactions on Signal Processing, 54(4):1537–1549, 2006.
• [22] Xiangyang Wang, Jun Wu, and Panpan Niu. A new digital image watermarking algorithm resilient to desynchronization attacks. IEEE Transactions on Information Forensics and Security, 2(4):655–663, 2007.
• [23] Chih-Wei Tang and Hsueh-Ming Hang. A feature-based robust digital image watermarking scheme. IEEE Transactions on Signal Processing, 51(4):950–959, 2003.
• [24] Xiaochen Yuan, Chi-Man Pun, and C. L. Philip Chen. Geometric invariant watermarking by local Zernike moments of binary image patches. Signal Processing, 93(7):2087–2095, 2013.
• [25] Athanasios Nikolaidis. Affine transformation invariant image watermarking using moment normalization and radial symmetry transform. In ICIP, pages 2729–2732, 2011.
• [26] Xiangyang Wang, Panpan Niu, Hong-Ying Yang, and Lili Chen. Affine invariant image watermarking using intensity probability density-based harris laplace detector. J. Visual Communication and Image Representation, 23(6):892–907, 2012.
• [27] Yanwei Yu, Hefei Ling, Fuhao Zou, Zhengding Lu, and Liyun Wang. Robust localized image watermarking based on invariant regions. Digital Signal Processing, 22(1):170–180, 2012.
• [28] Lei-Da Li, Xiaoping Yuan, Zhaolin Lu, and Jeng-Shyang Pan. Rotation invariant watermark embedding based on scale-adapted characteristic regions. Inf. Sci., 180(15):2875–2888, 2010.
• [29] I Nasir, Fouad Khelifi, Jianmin Jiang, and S. Ipson. Robust image watermarking via geometrically invariant feature points and image normalisation. IET Image Processing, 6(4):354–363, 2012.
• [30] Krystian Mikolajczyk and Cordelia Schmid. Scale & affine invariant interest point detectors. International journal of computer vision, 60(1):63–86, 2004.
• [31] Steffen Gauglitz, Tobias Höllerer, and Matthew Turk. Evaluation of interest point detectors and feature descriptors for visual tracking. International Journal of Computer Vision, 94(3):335–360, 2011.
• [32] Sun Da. Research on density based image processing algorithms and application. PhD thesis, Harbin Institute of Technology, 2009.
• [33] Y. J. Jiang. Exponent moments and its application in pattern recognition. PhD thesis, Beijing University of Posts and Telecommunications, 2011.
• [34] LI Xu-dong. Optimization analysis of formulas for quantization-based image watermarking. Opto-Electronic Engineering, 37:96–102, 2010.
• [35] G. Weber. The usc-sipi image database version 5. Technical Report 315, USC-SIPI, Oct 1997.

Identyfikatory

DOI

10.3233/FI-2014-1121