A Wavelet-Based Watermarking Method Exploiting the Contrast Sensitivity Function
The efficiency of an image watermarking technique depends on the preservation of visually significant information. This is attained by embedding the watermark transparently with the maximum possible strength. The current paper presents an approach for still image digital watermarking in which the watermark embedding process employs the wavelet transform and incorporates Human Visual System (HVS) characteristics. The sensitivity of a human observer to contrast with respect to spatial frequency is described by the Contrast Sensitivity Function (CSF). The strength of the watermark within the decomposition subbands, which occupy an interval on the spatial frequencies, is adjusted according to this sensitivity. Moreover, the watermark embedding process is carried over the subband coefficients that lie on edges where distortions are less noticeable. The experimental evaluation of the proposed method shows very good results in terms of robustness and transparency.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083149Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1742
 R. Schyndel, A. Tirkel, and C. Osborne, "A digital watermark," in IEEE Proc. Int. Conf. Image Processing, 1994, vol. 2, pp. 86-90.
 W. Bender, D. Gruhl, N. Morimoto, and A. Lu, "Techniques for data hiding," IBM Systems Journal, vol. 35, no. 3-4, pp. 313-336, 1996.
 R. B. Wolfgang and E. J. Delp, "A watermark for digital images," in IEEE Proc. Int. Conf. Image Processing, 1996, vol. 3, pp. 219-222.
 M. D. Swanson, B. Zhu, and A. H. Tewfik, "Transparent robust image watermarking," in IEEE Proc. Int. Conf. Image Processing, vol. 3, pp. 211-214, 1996.
 I. J. Cox, J. Kilian, T. Leighton, and T. Shamoon, "Secure spread spectrum watermarking for multimedia," IEEE Trans. Image Processing, vol. 6, no. 12, pp. 1673-1687, Dec. 1997.
 M. Barni, F. Bartolini,a nd A. Piva, "Improved wavelet-based watermarking through pixel-wise masking", IEEE Trans. Image Processing, vol. 10, no. 5, pp. 783-791, 2001.
 X. Xia, C. G. Boncelet, and G. R. Arce, "A multiresolution watermark for digital images," in IEEE Proc. Int. Conf. Image Processing, USA, 1997, pp. 548-551.
 J. R. Kim, and Y. S. Moon, "A robust wavelet-based digital watermarking using level-adaptive thresholding," in IEEE Proc. Int. Conf. Image Processing, Japan, 1999, pp. 226-230.
 C. T. Hsu, and J. L. Wu, "Hidden digital watermarks in images," IEEE Trans. Image Processing, vol. 8, no. 1, pp. 58-68, Jan. 1999.
 R. Dugad, K. Ratakonda, and N. Ahuja, "A new wavelet-based scheme for watermarking images," in IEEE Proc. Int. Conf. Image Processing, USA, 1998, pp. 419-423.
 R. B. Wolfgang, C. I. Podilchuk, and E. J. Delp, "Perceptual watermarks for digital images and video," in SPIE Proc. Int. Conf. Security and watermarking of multimedia contents, USA, 1999, pp. 40-51.
 C. De Vleeschouwer, J. F. Delaigle, and B. Macq, "Invisibility and application functionalities in perceptual watermarking an overview," Proc. IEEE, vol. 90, no. 1, pp. 64-77, 2002.
 B. A. Wandell, "Foundations of Vision", Sinauer Associates Inc., Sunderland MA, 1995.
 J. Mannos, and D. Sakrison, "The effects of a visual fidelity criterionon the encoding of images," IEEE Trans. Information Theory, vol. 20, pp. 525-536, 1974.