[1] Chen Liquan, Sun Xiaoyan, Lu Miao, Shao Chen, et al. Contourlet watermarking algorithmbased on Arnold scrambling and singular value decomposition [J]. Journal of Southeast University (English Edition), 2012, 28 (4): 386-391. [doi:10.3969/j.issn.1003-7985.2012.04.003]

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Contourlet watermarking algorithmbased on Arnold scrambling and singular value decomposition()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

28

Issue:

2012 4

Page:

386-391

Research Field:

Computer Science and Engineering

Publishing date:

2012-12-30

Info

Title:

Contourlet watermarking algorithmbased on Arnold scrambling and singular value decomposition

Author(s):

Chen Liquan;  Sun Xiaoyan;  Lu Miao;  Shao Chen

School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Keywords:

digital watermarking;  contourlet transform;  Arnold scrambling;  singular value decomposition(SVD)

PACS:

TP309.2

DOI:

10.3969/j.issn.1003-7985.2012.04.003

Abstract:

A new digital watermarking algorithm based on the contourlet transform is proposed to improve the robustness and anti-attack performances of digital watermarking. The algorithm uses the Arnold scrambling technique and the singular value decomposition(SVD)scheme. The Arnold scrambling technique is used to preprocess the watermark, and the SVD scheme is used to find the best suitable hiding points. After the contourlet transform of the carrier image, intermediate frequency sub-bands are decomposed to obtain the singularity values. Then the watermark bits scrambled in the Arnold rules are dispersedly embedded into the selected SVD points. Finally, the inverse contourlet transform is applied to obtain the carrier image with the watermark. In the extraction part, the watermark can be extracted by the semi-blind watermark extracting algorithm. Simulation results show that the proposed algorithm has better hiding and robustness performances than the traditional contourlet watermarking algorithm and the contourlet watermarking algorithm with SVD. Meanwhile, it has good robustness performances when the embedded watermark is attacked by Gaussian noise, salt-and-pepper noise, multiplicative noise, image scaling and image cutting attacks, etc. while security is ensured.

References:

[1] Boato G, de Natale F, Fontanari C. Digital image tracing by sequential multiple watermarking [J]. IEEE Transactions on Multimedia, 2007, 9(4): 677-686.
[2] Do M N, Vetterli M. Contourlets: A directional multi-resolution image representation [C]//IEEE International Conference on Image Processions. New York, USA, 2002: 357-360.
[3] Xiao S Q, Ling H F, Zou F H, et al. Adaptive image watermarking algorithm in contourlet domain [C]//Japan-China Joint Workshop on Frontier of Computer Science and Technology. Tokyo, Japan, 2007: 125-130.
[4] Shu Z H, Liu G D, Gan L X, et al. Image watermarking based on wavelet-based contourlet packet transform with best tree [C]//Second International Symposium on Electronic Commerce and Security. Nanchang, China, 2009: 203-207.
[5] Akhaee M A, Sahraeian S M E, Marvasti F. Contourlet-based image watermarking using optimum detector in a noisy environment [J]. IEEE Transactions on Image Processing, 2010, 19(4): 967-980.
[6] Kaviani H R, Karimi N, Samavi S. Robust watermarking in singular values of contourlet coefficients [C]//The 7th Iranian Machine Vision and Image Processing(MVIP). Tehran, Iran, 2011: 1-5.
[7] Lai C C, Tsai C C. Digital image watermarking using discrete wavelet transform and singular value decomposition[J].IEEE Transactions on Instrumentation and Measurement, 2010, 59(11): 3060-3063.
[8] Liu F, Wang Y K. Restoring of the watermarking image in Arnold scrambling [C]//The 2nd International Conference on Signal Processing Systems(ICSPS). Dalian, China, 2010: 771-774.
[9] Po D D Y, Do M N. Directional multiscale modeling of images using the contourlet transform [J]. IEEE Transactions on Image Processing, 2006, 15(6): 1610-1620.
[10] Bamberger R H, Smith M J T. A filter bank for the directional decomposition of images: theory and design [J]. IEEE Transactions on Signal Processing, 1992, 40(4): 882-893.
[11] Dubolia R, Singh R, Bhadoria S, et al. Digital image watermarking by using discrete wavelet transform and discrete cosine transform and comparison based on PSNR [C]//International Conference on Communication Systems and Network Technologies(ICCSNT). Harbin, China, 2011: 593596.

Memo

Memo:

Biography: Chen Liquan(1976—), male, doctor, associate professor, lqchen@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.69092008).
Citation: Chen Liquan, Sun Xiaoyan, Lu Miao, et al. Contourlet watermarking algorithm based on Arnold scrambling and singular value decomposition[J].Journal of Southeast University(English Edition), 2012, 28(4):386-391.[doi:10.3969/j.issn.1003-7985.2012.04.003]

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