Abstract
In this paper, a robust image watermarking scheme based on all phase sine biorthogonal transform (APSBT), singular value decomposition (SVD) and dynamic stochastic resonance (DSR) is presented. Firstly, the cover image is transformed by APSBT and then a gray-scale logo is embedded through the singular value decomposition. After the authentication process which essentially resolves the false-positive extraction of SVD in watermarking, a phenomenon based on dynamic stochastic resonance is deployed for the logo extraction from the watermarked image. The simulation results demonstrate that the proposed scheme has better performance in the aspect of robustness and invisibility.
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References
Barni, M., Bartolini, F., Piva, A.: Improved wavelet-based watermarking through pixel-wise masking. IEEE Trans. Image Process. 10(5), 783–791 (2001)
Katzenbeisser, S., Petitcolas, F.A.P.: Information Hiding Techniques for Steganography and Digital Watermarking. Artech House, Boston (2002)
Singh, S.P., Bhatnagar, G.: A new robust watermarking system in integer DCT domain. J. Vis. Commun. Image Represent. 53, 86–101 (2018)
Dong, P., Brankov, J.G., Galatsanos, N.P., Yang, Y., Davoine, F.: Digital watermarking robust to geometric distortions. IEEE Trans. Image Process. 14(12), 2140–2150 (2005)
Singh, S.P., Bhatnagar G.: A novel chaos based robust watermarking framework. In: Proceedings of the International Conference Computer Vision and Image Processing, CVIP(2), pp. 439–447 (2017)
Jha, R.K., Chouhan, R.: Dynamic stochastic resonance-based grayscale logo extraction in hybrid SVD-DCT domain. J. Frankl. Inst. 351(5), 2938–2965 (2014)
Ganic, E., Ahmet, M.E.: A DFT-based Semi-blind Multiple Watermarking Scheme for Images. CUNY Brooklyn College, 2900 (2004)
Bhatnagar, G., Wu, Q.M.J.: Biometrics inspired watermarking based on a fractional dual tree complex wavelet transform. Future Gener. Comput. Syst. 29(1), 182–195 (2013)
Wu, G., Qiu, Z.: A novel watermarking scheme based on stochastic resonance. In: IEEE International Conference on Signal Processing, vol. 2, pp. 1–4 (2006)
Gammaitoni, L., Hanggi, P., Jung, P., Marchesoni, F.: Stochastic resonance. Rev. Mod. Phys. 70, 223–287 (1998)
Chouhan, R., Jha, R.K., Chaturvedi, A., Yamasaki, T., Aizawa, K.: Robust watermark extraction using SVD-based dynamic stochastic resonance. In: IEEE International Conference on Image Processing, pp. 2745–2748 (2011)
Liu, R., Tan, T.: An SVD-based watermarking scheme for protecting rightful ownership. IEEE Trans. Multimed. 4(1), 121–128 (2002)
Hou, Z.X., Wang, C.Y., Yang, A.P.: All phase biorthogonal transform and its application in JPEG-like image compression. Signal Process. Image Commun. 24(10), 791–802 (2009)
Hannes, R.: The Fokker-Planck Equation. Berlin, Heidelberg (1996)
Gard, T.C.: Introduction to Stochastic Differential Equations. Marcel-Dekker, New York (1998)
Acknowledgements
The authors gratefully acknowledges the support of SERB, DST, India for this research work.
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Singh, S.P., Bhatnagar, G. (2020). A Robust Watermarking Scheme for Copyright Protection. In: Chaudhuri, B., Nakagawa, M., Khanna, P., Kumar, S. (eds) Proceedings of 3rd International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 1024. Springer, Singapore. https://doi.org/10.1007/978-981-32-9291-8_34
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DOI: https://doi.org/10.1007/978-981-32-9291-8_34
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