Abstract
Recently, protecting the copyright of digital media has become an imperative issue due to the growing illegal reproduction and modification of digital media. A large number of digital watermarking algorithms have been proposed to protect the integrity and copyright of images. Traditional watermarking schemes protect image copyright by embedding a watermark in the spatial or frequency domain of an image. However, these methods degrade the quality of the original image in some extend. In recent years, a new approach called zero-watermarking algorithms is introduced. In these methods, the watermark does not require to be embedded into the protected image but is used to generate a verification map which is registered to a trusted authority for further protection. In this paper a robust copyright proving scheme based on discrete wavelet transform is proposed. It uses a normalization procedure to provide robustness against geometric distortions and a cellular automaton for noise robustness. Experimental results on images with different complexity demonstrate that our proposed scheme is robust against common geometric and non geometric attacks including blurring, JPEG compression, noise addition, sharpening, scaling, rotation, and cropping. In addition, our experimental results obtained on images with different complexities showed that our method could outperform the related methods in most cases.
Chapter PDF
Similar content being viewed by others
Keywords
References
Langelaar, G., Setyawan, I., Lagendijk, R.: Watermarking digital image and video data: A state-of-the-art overview. IEEE Signal Processing Magazine 17(5), 20–46 (2000)
Lee, W.B., Chen, T.H.: A public verifiable copy protection technique for still images. J. Syst. Softw. 62, 195–204 (2002)
Hsu, C.T., Wu, J.L.: Multiresolution watermarking for digital images. IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process. 45(8), 1097–1101 (1998)
Chen, T.H., Horng, G., Lee, W.B.: A publicly verifiable copyright proving scheme resistant to malicious attacks. IEEE Transactions on Industrial Electronics 52(1), 327–334 (2005)
Abdel-Wahab, M.A., Selim, H., Sayed, U.: A novel robust watermarking scheme for copyright-proving. In: The 2009 International Conference on Computer Engineering and Systems, ICCES 2009, art. no. 5383216, pp. 482–486 (2009)
Chang, C.C., Lin, P.Y.: Adaptive watermark mechanism for rightful ownership protection. The Journal of Systems and Software 81, 1118–1129 (2008)
Kazakova, N., Margala, M., Durdle, N.G.: Sobel edge detection processor for a real-time volume rendering system. In: Proceedings of the 2004 International Symposium on Circuits and Systems, vol. 2, pp. 913–916 (2004)
Lee, M.T., Chen, S.S.: Image Copyright Protection Scheme Using Sobel Technology and Genetic Algorithm. In: International Symposium on Computer, Communication, Control and Automation (2010)
Lin, W.H., Horng, S.J., Kao, T.W., Chen, R.J., Chen, Y.H.: Image copyright protection with forward error correction. Expert Systems with Applications 14(12) (2005)
Popovici, A., Popovici, D.: Cellular automata in image processing. In: Proceedings of 15th International Symposium on Mathematical Theory of Networks and Systems (2002)
Dong, P., Brankov, J.G., Galatsanos, N.P., Yang, Y., Davoine, F.: Digital Watermarking Robust to Geometric Distortions. IEEE Transaction on Image Processing 36, 11888–11894 (2009)
Rothe, I., Susse, H., Voss, K.: The method of normalization to determine invariants. IEEE Transaction on Pattern Analysis and Machine Intelligence 18(4), 366–376 (1996)
Hsu, C.T., Wu, J.L.: Hidden digital watermarks in images. IEEE Transaction on Image Processing 8(1), 58–68 (1999)
Yaghmaee, F., Jamzad, M.: Computing watermark capacity in images according to their quad tree. In: Int. IEEE 5th Symposium on Signal Processing and Information Technology, pp. 823–826. IEEE Press (2005)
Image data base, http://www.cs.washington.edu/research/imagedatabase
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shakeri, M., Jamzad, M. (2011). A Robust Zero-Watermark Copyright Protection Scheme Based on DWT and Image Normalization. In: Ho, YS. (eds) Advances in Image and Video Technology. PSIVT 2011. Lecture Notes in Computer Science, vol 7088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25346-1_32
Download citation
DOI: https://doi.org/10.1007/978-3-642-25346-1_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25345-4
Online ISBN: 978-3-642-25346-1
eBook Packages: Computer ScienceComputer Science (R0)