Abstract
In this paper, we propose a novel algorithm for robust image watermarking by inserting a single copy of the watermark. Usually, robustness is achieved by embedding multiple copies of the watermark.The proposed method locates and watermarks ‘significant pixels’ of the image in the wavelet domain. Here, the amount of distortion at every pixel is kept within the threshold of perception by adopting ideas from Human Visual System (HVS) model. The robustness of the proposed method was verified under six different attacks. To verify the advantage of selecting the significant pixels over the highest absolute coefficients, simulations were performed under both cases with quantization of pixels as per HVS model. Simulation results show the advantage of selecting the ‘significant pixels’ for watermarking gray images as well as color images.
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References
Wolfgang, R.B., Delp, E.J.: A watermark for digital images. In: Proceedings of IEEE Int. Conf. Image proc., vol. 3, pp. 219–222 (1996)
Wolfgang, R., Delp, E.J.: Fragile watermarking using the vw2d watermark. In: Proceedings of SPIE, vol. 3228, pp. 297–308 (1997)
Ruanaidh, J.J.K.O., Dowling, W.J., Boland, F.M.: Phase watermarking of digital images. In: Proc. Int. Conf. Image Processing, vol. 3, pp. 239–242 (1996)
Hsu, C.T., Wu, J.L.: Hidden signatures in images. In: Proc. Int. Conf. Image Processing, vol. 3, pp. 223–226 (1996)
Kundur, D., Hatzinakos, D.: A robust digital image watermarking scheme using wavelet based fusion. In: Proceedings of IEEE Int. Conf. Image proc., pp. 544–547 (1997)
Inoue, H., Miyazaki, A., Yamamoto, A., Katsura, T.: A digital watermark based on wavelet transform and its robustness on image compression and transformation. IEICE Trans. Fund. Electron., Commun., Comput. Sci. E82-A, 2–10 (1999)
Xia, X., Boncelet, C.J., Arce, G.R.: A multiresolution watermark for digital images. In: Proceedings of IEEE Int. Conf. Image Proc., pp. 548–551 (1997)
Alghoniemy, M., Tewfik, A.H.: Geometric invariance in image watermarking. IEEE Trans. Image Proc. 13, 145–153 (2004)
Barnii, M., Bartolini, F., Piva, A.: Improved wavelet based watermarking through pixel-wise masking. IEEE Trans. Image Proc. 10, 470–477 (2001)
Lewis, A.S., Knowles, G.: Image compression using 2-d wavelet transform. IEEE Trans. Image Proc. 1, 244–250 (1992)
Kundur, D., Hatzinakos, D.: Towards robust logo watermarking using multiresolution image fusion principles. IEEE Trans. Multimedia 6, 185–198 (2004)
Tian, Q., Sebe, N., Lew, M.S., Loupias, E., Huang, T.S.: Content-based image retrieval using wavelet-based salient points. In: Proceedings of SPIE, vol. 4315, pp. 425–436 (2000)
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© 2006 Springer-Verlag Berlin Heidelberg
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Jayalakshmi, M., Merchant, S.N., Desai, U.B. (2006). Significant Pixel Watermarking Using Human Visual System Model in Wavelet Domain. In: Kalra, P.K., Peleg, S. (eds) Computer Vision, Graphics and Image Processing. Lecture Notes in Computer Science, vol 4338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949619_19
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DOI: https://doi.org/10.1007/11949619_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68301-8
Online ISBN: 978-3-540-68302-5
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