The Library

A contrast-sensitive reversible visible image watermarking technique

Tools

Yang, Y. (Ying), Sun, Xingming, Yang, Hengfu, Li, Chang-Tsun and Xiao, R. (Rong). (2009) A contrast-sensitive reversible visible image watermarking technique. IEEE Transactions on Circuits and Systems for Video Technology, Vol.19 (No.5). pp. 656-667. ISSN 1051-8215

Preview

PDF
WRAP_li-contrast_sensitive.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1741Kb)

Official URL: http://dx.doi.org/10.1109/TCSVT.2009.2017401

Abstract

A reversible (also called lossless, distortion-free, or invertible) visible watermarking scheme is proposed to satisfy the applications, in which the visible watermark is expected to combat copyright piracy but can be removed to losslessly recover the original image. We transparently reveal the watermark image by overlapping it on a user-specified region of the host image through adaptively adjusting the pixel values beneath the watermark, depending on the human visual system-based scaling factors. In order to achieve reversibility, a reconstruction/ recovery packet, which is utilized to restore the watermarked area, is reversibly inserted into non-visibly-watermarked region. The packet is established according to the difference image between the original image and its approximate version instead of its visibly watermarked version so as to alleviate its overhead. For the generation of the approximation, we develop a simple prediction technique that makes use of the unaltered neighboring pixels as auxiliary information. The recovery packet is uniquely encoded before hiding so that the original watermark pattern can be reconstructed based on the encoded packet. In this way, the image recovery process is carried out without needing the availability of the watermark. In addition, our method adopts data compression for further reduction in the recovery packet size and improvement in embedding capacity. The experimental results demonstrate the superiority of the proposed scheme compared to the existing methods.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Digital watermarking -- Research, Data encryption (Computer science), Data compression (Computer science), Data recovery (Computer science)
Journal or Publication Title:	IEEE Transactions on Circuits and Systems for Video Technology
Publisher:	IEEE
ISSN:	1051-8215
Date:	May 2009
Volume:	Vol.19
Number:	No.5
Page Range:	pp. 656-667
Identification Number:	10.1109/TCSVT.2009.2017401
Status:	Peer Reviewed
Access rights to Published version:	Open Access
Funder:	China, Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC)
Grant number:	2006CB303000 (China), 60573045 (NSFC), 60736016 (NSFC), 60873198 (NSFC)
References:	[1] M. S. Kankanhalli, Rajmohan, and K. R. Ramakrishnan, “Adaptive visible watermarking of images,” in Proc. IEEE Int. Conf. Multimedia Comput. Syst., vol. 1. Florence, SC, Jul. 1999, pp. 568–573. [2] J. Meng and S. F. Chang, “Embedding visible video watermarks in the compressed domain,” in Proc. IEEE Int. Conf. Image Process., vol. 1. Chicago, IL, Oct. 1998, pp. 474–477. [3] S. P. Mohanty, K. R. Ramakrishnan, and M. S. Kankanhalli, “A DCT domain visible watermarking technique for images,” in Proc. IEEE Int. Conf. Multimedia Expo., vol. 2. New York, NY, 2000, pp. 1029–1032. [4] B. B. Huang and S. X. Tang, “A contrast-sensitive visible watermarking scheme,” IEEE Multimedia, vol. 13, no. 2, pp. 60–67, Apr.-Jun. 2006. [5] R. Lukac and K. N. Plataniotis, “Secure single-sensor digital camera,” Electron. Lett., vol. 42, no. 11, pp. 627–629, May 2006. [6] M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester, “Image inpainting,” in Proc. 27th Ann. Conf. Comput. Graph. Interactive Technol. New Orleans, LA, 2000, pp. 417–424. [7] C. H. Huang and J. L. Wu, “Attacking visible watermarking schemes,” IEEE Trans. Multimedia, vol. 6, no. 1, pp. 16–30, Feb. 2004. [8] S. C. Pei and Y. C. Zeng, “A novel image recovery algorithm for visible watermarked images,” IEEE Trans. Inf. Forens. Security, vol. 1, no. 4, pp. 543–550, Dec. 2006. [9] Y. Yang, X. Sun, H. Yang, and C.-T. Li, “Removable visible image watermarking algorithm in the discrete cosine transform domain,” J. Electron. Imaging, vol. 17, no. 3, pp. 033008-1–033008-11 Jul.–Sep. 2008. [10] Y. J. Hu, S. Kwong, and J. Huang, “An algorithm for removable visible watermarking,” IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 1, pp. 129–133, Jan. 2006. [11] Y. J. Hu and B. Jeon, “Reversible visible watermarking and lossless recovery of original images,” IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 11, pp. 1423–1429, Nov. 2006. [12] S. K. Yip, O. C. Au, C. W. Ho, and H. M. Wong, “Lossless visible watermarking,” in Proc. IEEE Int. Conf. Multimedia Expo, Toronto, ON, Canada, 2006, pp. 853–856. [13] H. M. Tsai and L. W. Chang, “A high secure reversible visible watermarking scheme,” in Proc. IEEE Int. Conf. Multimedia Expo, Beijing, China, 2007, pp. 2106–2109. [14] C. W. Honsinger, P. W. Jones, M. Rabbani, and J. C. Stoffel, “Lossless recovery of an original image containing embedded data,” U.S. Patent #6278 791, Aug. 2001. [15] C. De Vleeschouwer, J. F. Delaigle, and B. Macq, “Circular interpretation of bijective transformations in lossless watermarking for media asset management,” IEEE Trans. Multimedia, vol. 5, no. 1, pp. 97–105, Mar. 2003. [16] M. U. Celik, G. Sharma, A. M. Tekalp, and E. Saber, “Lossless generalized-LSB data embedding,” IEEE Trans. Image Process., vol. 14, no. 2, pp. 253–266, Feb. 2005. [17] J. Tian, “Reversible data embedding using a difference expansion,” IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 8, pp. 890–896, Aug. 2003. [18] C. H. Chou and Y. C. Li, “A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile,” IEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 6, pp. 467–476, Dec. 1995. [19] R. C. Reininger and J. D. Gibson, “Distributions of the two-dimensional DCT coefficients for images,” IEEE Trans. Commun., vol. COM-31, no. 6, pp. 835–839, Jun. 1983. [20] P. G. Howard, F. Kossentini, B. Martins, S. Forchhammer, and W. J. Rucklidge, “The emerging JBIG2 standard,” IEEE Trans. Circuits Syst. Video Technol., vol. 8, no. 7, pp. 838–848, Nov. 1998. [21] M. Kuhn. (1995, Jun. 8). JBIG-KIT [Online]. Available: http://www.cl.cam.ac.uk/∼mgk25/jbigkit/ [22] D. M. Thodi and J. J. Rodríguez, “Expansion embedding techniques for reversible watermarking,” IEEE Trans. Image Process., vol. 16, no. 3, pp. 721–730, Mar. 2007. [23] J. Fridrich, M. Goljan, and R. Du, “Lossless data embedding—–new paradigm in digital watermarking,” EURASIP J. Appl. Sig. Process., vol. 2002, no. 2, pp. 185–196, Feb. 2002. [24] D. Coltuc and J. M. Chassery, “Very fast watermarking by reversible contrast mapping,” IEEE Signal Process. Lett., vol. 14, no. 4, pp. 255– 258, Apr. 2007. [25] A. Weber, Image Database. Signal & Image Process. Inst., Univ. Southern California, LA. [Online]. Available: http://sipi.usc.edu/database/ [26] M. Miyahara, K. Kotani, V. R. Algazi, “Ojective picutre quality scale (PQS) for image coding,” IEEE Trans. Commun., vol. 46, no. 9, pp. 1215–1226, Sep. 1998. [27] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: From error measurement to structural similarity,” IEEE Trans. Image Process., vol. 13, no. 4, pp. 600–612, Apr. 2004.
URI:	http://wrap.warwick.ac.uk/id/eprint/2213