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This paper introduces a blind watermarking based on a convolutional neural network (CNN).
F. A. Petitcolas, R. J. Anderson, and M. G. Kuhn, “Attacks on copyright marking systems,” in International workshop on information hiding . Springer, 1998, pp. 218–238
1998
Earlier work this paper cites.
S. D. Lin and C.-F. Chen, “A robust dct-based watermarking for copyright protection,” IEEE Transactions on Consumer Electronics , vol. 46, no. 3, pp. 415–421, 2000
2000
Earlier work this paper cites.
2002
Earlier work this paper cites.
X. Kang, J. Huang, Y. Q. Shi, and Y. Lin, “A dwt-dft composite watermarking scheme robust to both affine transform and jpeg compression,” IEEE transactions on circuits and systems for video technology , vol. 13, no. 8, pp. 776–786, 2003
2003
Earlier work this paper cites.
P. Bas, T. Filler, and T. Pevnỳ, “” break our steganographic system”: The ins and outs of organizing boss,” in International Workshop on Information Hiding . Springer, 2011, pp. 59–70
2011
Cited alongside, same era.
X.-y. Wang, C.-p. Wang, H.-y. Yang, and P.-p. Niu, “A robust blind color image watermarking in quaternion fourier transform domain,” Journal of Systems and Software , vol. 86, no. 2, pp. 255–277, 2013
2013
Cited alongside, same era.
B. Chen, G. Coatrieux, G. Chen, X. Sun, J. L. Coatrieux, and H. Shu, “Full 4-d quaternion discrete fourier transform based watermarking for color images,” Digital Signal Processing , vol. 28, pp. 106–119, 2014
2014
Cited alongside, same era.
S. Van der Walt, J. L. Schönberger, J. Nunez-Iglesias, F. Boulogne, J. D. Warner, N. Yager, E. Gouillart, and T. Yu, “scikit-image: image processing in python,” PeerJ , vol. 2, p. e453, 2014
2014
Cited alongside, same era.
E. Jones, T. Oliphant, and P. Peterson, “ { \{ SciPy } \} : open source scientific tools for { \{ Python } \} ,” 2014
2014
Later among the works it cites.
J. Ouyang, G. Coatrieux, B. Chen, and H. Shu, “Color image watermarking based on quaternion fourier transform and improved uniform log-polar mapping,” Computers & Electrical Engineering , vol. 46, pp. 419–432, 2015
2015
Later among the works it cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 770–778
2016
Later among the works it cites.
H. Kandi, D. Mishra, and S. R. S. Gorthi, “Exploring the learning capabilities of convolutional neural networks for robust image watermarking,” Computers & Security , vol. 65, pp. 247–268, 2017
2017
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