Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30172
A Wavelet Based Object Watermarking System for Image and Video

Authors: Abdessamad Essaouabi, Ibnelhaj Elhassane

Abstract:

Efficient storage, transmission and use of video information are key requirements in many multimedia applications currently being addressed by MPEG-4. To fulfill these requirements, a new approach for representing video information which relies on an object-based representation, has been adopted. Therefore, objectbased watermarking schemes are needed for copyright protection. This paper proposes a novel blind object watermarking scheme for images and video using the in place lifting shape adaptive-discrete wavelet transform (SA-DWT). In order to make the watermark robust and transparent, the watermark is embedded in the average of wavelet blocks using the visual model based on the human visual system. Wavelet coefficients n least significant bits (LSBs) are adjusted in concert with the average. Simulation results shows that the proposed watermarking scheme is perceptually invisible and robust against many attacks such as lossy image/video compression (e.g. JPEG, JPEG2000 and MPEG-4), scaling, adding noise, filtering, etc.

Keywords: Watermark, visual model, robustness, in place lifting shape adaptive-discrete wavelet transform.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083503

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1555

References:


[1] I. J. Cox, M. L. Miller and J. A. Bloom, "Watermarking applications and their properties," Proc. Intern. Conf. On Information Technology-2000, Las Vegas, 2000.
[2] I. J.Cox, J. Kilian, T. Leighton and T. G. Shamoon, "Secure spread spectrum watermarking for Multimedia," Proc. Of the IEEE Inter. Conf. on Image Processing, ICIP-97, Santa Barbara, California, USA, Vol. 6, October 1997.
[3] A. Piva, M. Barni, F. Berbolini and V. Cappellini, "DCT based watermark recovery without resorting to the uncorrupted original image," Proc. IEEE Intern. Conf. on Image Processing, ICIP-97, Santa Barbara,California, USA, Vol. 1, October 1997.
[4] M. Barni, F. Bartolini, V. Cappellini , A. Lippi and A. Piva, "A DWTbased technique for spatio-frequence masking of digital signature," Proc. of the 11th SPIE Annual Symposium, Electronic Imaging 99, Security and Watermarking of Multimedia Contents, vol. 3657, San Jose, CA, USA, January 1999.
[5] V. Licks and R. Jordan , "Digital Image Watermarking Robust to Geometric Transformations," IEEE Intern. Conf. on Image Processing, Vancouver, Canada, 2000.
[6] J. Puate and F. Jordan, "Using fractal compression scheme to embed a digital signature into an image," Proc.SPIE Photonics East Symposium, Boston, USA, 1996.
[7] X. Wu, W. Zhu, Z. Xiong and Y. Zhang, "Object-based multiresolution watermarking of images and video," ISCAS-2000, Geneva, Switzerland, May 23-31, pp. 212-215, 2000.
[8] G. Y. Kim, J. Lee and C. S. Won, "Object-based video watermarking," ICCE-99, June 22-24, pp. 100-101, 1999.
[9] A. Piva, R. Caldelli and A. D. Rosa, "A DWT-based object watermarking system for MPEG-4 video streams," in Proceedings of ICIP-2000,Vancouver, Canada, vol. 3, pp. 5-8, 2000.
[10] M. Barni, F. Bartolini, V. Capelini, and N. Checacci, "Object Watermarking for MPEG-4 video streams copyright protection," in IST/SPIE-s : Security and Watermarking of Multimedia Content II, SPIE Proceedings, San Jose, CA, vol. 3971, pp. 465-476, Sept.2000.
[11] M. Karl, L. Rastislav and N. P. Konstantinos, " SPIHT-based Coding of the Shape and Texture of Arbitrarily-Shaped Visual Objects," Circuits and Systems for Video Technology, IEEE Transactions , Vol. 16, No. 10, pp.1196 - 1208, Oct. 2006.
[12] S. Li and W. Li, "Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding," IEEE Trans. Circuits Syst. Video Technol., vol. 10, pp. 725-743, Aug. 2000.
[13] W. Sweldens, "The lifting scheme, A new philosophy in biorthogonal wavelet constructions," in Wavelet Applications in Signal and Image Processing III, A. F. Laine and M. Unser, Eds. Proc. SPIE 2569, pp. 68-79, 1995.
[14] K. Xiangwei, L. Yu, L. Huajian and Y. Deli, "Object watermarks for digital images and video, Image and Vision Computing," Vol. 22, No. 8, pp. 583-595, Aug. 2004.