Abstract
Digital watermarking technology is a very good method for protecting copyright. A novel image watermarking scheme based on contourlet transform is proposed. The original carrier image was executed in contourlet transform and four directions of the second level subband were marked, afterwards, the scrambled digital watermarking is embedded in them. The experimental results show that the proposed watermarking scheme is feasible and simple. The embedded watermarking images have tiny difference with the original images and the extracted watermarking is accurate. It is imperceptible and robust against various signals processing such as noise adding, rotating, altering, cropping, compression, brightness variations and mosaic, etc.
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References
Cox I J, Kilian J, Leighton F T, et al. Secure spread spectrum watermarking for multimedia [J]. IEEE Transactions on Image Processing, 1997, 6(12):1673–1687.
Cox I J, Miller M L. A review of watermarking and the importance of perceptual modeling [C] //Proceedings of the SPIE International Conference on Human Vision and Electronic Image II. San Jose: The International Society for Optics and Photonice, 1997: 92–99.
Wolfgang R B, Podilchuk C I, Delp E J. Perceptual watermarks for digital image and video [J]. Proceedings of the IEEE, 1999, 87(7):1108–1126.
Cox I J, Matt L, Jeffrey B A. Digital Watermark [M]. Beijing: Publishing House of Electronic Industry, 2003.
Mallat S, Peyre G. Wavelet Tour of Signal Proecssing [M]. Beijing: Mechanics Industry Press, 2003.
Candes E J. Monoscale Ridgelet for the Representation of Images with Edges [R]. Stanford: Stanford University, 1999.
Emmanuel J, Candes E J, Donoho D L. Curvelets — A Surprisingly Effective Nonadaptive Representation for Objects with Edges [R]. California: Stanford University, 2000.
Wang Q L, Bai F M. Blind digital watermarking algorithm for color image based on Arnold and DWT [J]. Journal of Jilin University (Information Science Edition), 2011, 29(4):303–309 (Ch).
Zhang D Y, Wan M X, Xu C. False data identification method based on watermarking [J]. Journal of Computers, 2013, 8(10):2682–2688.
Cao G H, Hu K. Image scrambling algorithm based on Chaoic weighted sampling theory and sorting transformation [J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(1):67–72(Ch).
Mizuno K, Takagi K, Lzumi S, et al. A sub-100 mw dual-core HOG Accelerator VLSI for parallel feature extraction processing for HDTV resolution video [J]. IEICE Transactions on Electronics, 2013, 96(4):2534–2537.
Do M N, Vetterli M. The contourlet transform: An efficient directional multiresolution image representation [J]. IEEE Transactions on Image Processing, 2005, 14(12):2091–2106.
Jiao L C, Tan S. Development and prospect of image multiscale geometric analysis [J]. Acta Electronica Sinica, 2003, 31(12A):1975–1981(Ch).
Duncan D, Po Y, Do M N. Directional multiscale modeling of images using the contourlet transform [J]. IEEE Transactions on Image Processing, 2006, 15(6):1610–1620.
Ye G D. Scrambling encryption algorithm of pixel bit based on chaos map [J]. Pattern Recognition Letters, 2010, 31(5):347–354.
Satyajit K, Rahulkumar K, Tushar K, et al. Face recognition based on Ridgelet transforms [J]. Procedia Computer Science, 2010, 2: 35–43.
Pennec E L, Mallat S. Sparse geometric image representation with bandelets [J]. IEEE Transactions on Image Processing, 2005, 14(4): 423–438.
Zeng F J, Zhou A M. Image zero-watermarking algorithm based on Contourlet transform and singular value decomp-osition [J]. Computer Applications, 2012, 32(8):2033–2038.
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Foundation item: Supported by the National Natural Science Foundation of China (61071188) and the Natural Science Foundation of Hubei Province (2009CDB077)
Biography: WANG Taiyue, male, Ph.D., Lecturer, research direction: generalized Gaussian signal processing, information security and image processing.
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Wang, T., Li, H. A novel scrambling digital image watermarking algorithm based on contourlet transform. Wuhan Univ. J. Nat. Sci. 19, 315–322 (2014). https://doi.org/10.1007/s11859-014-1019-z
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DOI: https://doi.org/10.1007/s11859-014-1019-z