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Image Watermarking Algorithm Based on Multiobjective Ant Colony Optimization and Singular Value Decomposition in Wavelet Domain

DOI: 10.1155/2013/921270

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Abstract:

We present a new optimal watermarking scheme based on discrete wavelet transform (DWT) and singular value decomposition (SVD) using multiobjective ant colony optimization (MOACO). A binary watermark is decomposed using a singular value decomposition. Then, the singular values are embedded in a detailed subband of host image. The trade-off between watermark transparency and robustness is controlled by multiple scaling factors (MSFs) instead of a single scaling factor (SSF). Determining the optimal values of the multiple scaling factors (MSFs) is a difficult problem. However, a multiobjective ant colony optimization is used to determine these values. Experimental results show much improved performances of the proposed scheme in terms of transparency and robustness compared to other watermarking schemes. Furthermore, it does not suffer from the problem of high probability of false positive detection of the watermarks. 1. Introduction With the advent of numeric era at the end of 20th century, the exchange of digital documents became a very easy task. This extraordinary technical revolution from analog to numerical technology was not achieved without generating anxiety in terms of the protection of the authors rights since multimedia documents can be quite easily duplicated, modified, and illegally attacked without deterioration. Affected by significant revenue losses multimedia documents author’s are motivated more than ever to secure their documents. In this context digital watermarking was introduced: it consists of inscribing invisible (or visible) data into the multimedia documents. This is done in two stages: embedding and extracting process. Digital watermarking schemes for images can be classified into different classes according to embedding domain, embedding rule, imperceptibility, and permanency. In terms of robustness, the watermarking algorithm can be classified into three categories: fragile, semifragile, and robust. Fragile watermarking is designed to detect any modification in such a way that slight modifications or tampering on the watermarked image will destroy the watermark. This type is employed to ensure the integrity and image authenticity. Conversely, robust watermarking is designed to be resistant against attacks that attempt to remove or destroy the watermark without degrading the visual quality of the watermarked image significantly. Robust watermarking is typically employed for copyright protection and ownership verification. Semifragile watermarking combines the properties of fragile and robust watermarking in order to detect

References

[1]  T. Xianghong, L. Lu, Y. Lianjie, and N. Yamei, “A digital watermarking scheme based on DWT and vector transform,” in Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP '04), pp. 635–638, October 2004.
[2]  L. Li, H. Xu, C. Chang, and Y. Ma, “A novel image watermarking in redistributed invariant wavelet domain,” Journal of Systems and Software, vol. 84, no. 6, pp. 923–929, 2011.
[3]  X.-F. Liu and S.-M. Li, “Image digital watermarking algorithm based on Arnold scrambling and wavelet transform,” in Proceedings of the International Conference on Mechanical and Electronics Engineering, vol. 130–134, pp. 2928–2931, September 2011.
[4]  V. Solachidis and I. Pitas, “Circularly symmetric watermark embedding in 2-D DFT domain,” IEEE Transactions on Image Processing, vol. 10, no. 11, pp. 1741–1753, 2001.
[5]  W. Wang, A. Men, and X. Chen, “Robust image watermarking scheme based on phase features in DFT domain and generalized radon transformations,” in Proceedings of the International Workshop on Education Technology and Computer Science, pp. 736–739, March 2009.
[6]  E. Ganic, S. D. Dexter, and A. M. Eskicioglu, “Embedding multiple watermarks in the DFT domain using low and high frequency bands,” in Security, Steganography, and Watermarking of Multimedia Contents VII, vol. 5681 of Proceedings of the SPIE, pp. 175–184, March 2005, January 2005.
[7]  S. D. Lin, S. Shie, and J. Y. Guo, “Improving the robustness of DCT-based image watermarking against JPEG compression,” Computer Standards and Interfaces, vol. 32, no. 1-2, pp. 51–58, 2010.
[8]  A. H. Taherinia and M. Jamzad, “A robust spread spectrum watermarking method using two levels DCT,” International Journal of Electronic Security and Digital Forensics, vol. 2, no. 3, pp. 280–305, 2009.
[9]  J. R. Hernández, M. Amado, and F. Pérez-González, “DCT-domain watermarking techniques for still images: detector performance analysis and a new structure,” IEEE Transactions on Image Processing, vol. 9, no. 1, pp. 55–68, 2000.
[10]  W. Lu, W. Sun, and H. Lu, “Robust watermarking based on DWT and nonnegative matrix factorization,” Computers and Electrical Engineering, vol. 35, no. 1, pp. 183–188, 2009.
[11]  W. Lu and H. Lu, “Robust watermarking based on subsampling and nonnegative matrix factorization,” Informatica, vol. 19, no. 4, pp. 555–566, 2008.
[12]  M. Ouhsain and A. B. Hamza, “Image watermarking scheme using nonnegative matrix factorization and wavelet transform,” Expert Systems with Applications, vol. 36, no. 2, pp. 2123–2129, 2009.
[13]  A. A. Mohammad, A. Alhaj, and S. Shaltaf, “An improved SVD-based watermarking scheme for protecting rightful ownership,” Signal Processing, vol. 88, no. 9, pp. 2158–2180, 2008.
[14]  K. Loukhaoukha and J.-Y. Chouinard, “Hybrid watermarking algorithm based on SVD and lifting wavelet transform for ownership verification,” in Proceedings of the 11th Canadian Workshop on Information Theory (CWIT '09), pp. 177–182, May 2009.
[15]  R. Liu and T. Tan, “An SVD-based watermarking scheme for protecting rightful ownership,” IEEE Transactions on Multimedia, vol. 4, no. 1, pp. 121–128, 2002.
[16]  R. Rykaczewski, “Comments on ‘An SVD-based watermarking scheme for protecting rightful ownership’,” IEEE Transactions on Multimedia, vol. 9, no. 2, pp. 421–423, 2007.
[17]  X. Zhang and K. Li, “Comments on ‘an SVD-based watermarking scheme for protecting rightful ownership’,” IEEE Transactions on Multimedia, vol. 7, no. 3, pp. 593–594, 2005.
[18]  L. Xiao, Z. Wei, and J. Ye, “Comments on “Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition” and theoretical analysis,” Journal of Electronic Imaging, vol. 17, no. 4, Article ID 040501, 2008.
[19]  I. J. Cox, J. Kilian, F. T. Leighton, and T. Shamoon, “Secure spread spectrum watermarking for multimedia,” IEEE Transactions on Image Processing, vol. 6, no. 12, pp. 1673–1687, 1997.
[20]  M. Dorigo, Optimization, learning and natural algorithms [Ph.D. thesis], Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy, 1992.
[21]  K. Socha and M. Dorigo, “Ant colony optimization for continuous domains,” European Journal of Operational Research, vol. 185, no. 3, pp. 1155–1173, 2008.
[22]  F. A. C. Viana, G. I. Kotinda, D. A. Rade, and V. Steffen Jr., “Tuning dynamic vibration absorbers by using ant colony optimization,” Computers and Structures, vol. 86, no. 13-14, pp. 1539–1549, 2008.
[23]  S. Pourtakdoust and H. Nobahari, “An extension of ant colony system to continuous optimization problems,” in Proceedings of the International Workshop of Ant Colony Optimization and Swarm Intelligence, pp. 294–301, September 2004.
[24]  K. Loukhaoukha and J.-Y. Chouinard, “Security of ownership watermarking of digital images based on singular value decomposition,” Journal of Electronic Imaging, vol. 19, no. 1, Article ID 013007, 2010.
[25]  Y. Pai and S. Ruan, “A high quality robust digital watermarking by smart distribution technique and effective embedded scheme,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E90, no. 3, pp. 597–605, 2007.
[26]  R. T. Marler and J. S. Arora, “Survey of multi-objective optimization methods for engineering,” Structural and Multidisciplinary Optimization, vol. 26, no. 6, pp. 369–395, 2004.

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