Digital Image Watermarking Based on Mixed Error Correcting Code

Yonghong Chen, Jiancong Chen

College of Computer Science & Technology, Huaqiao University, Xiamen,China.
College of Computer Science & Technology, Huaqiao University, Xiamen,China..

DOI: 10.4236/jis.2012.32018                

Abstract

In this paper, we present a novel technique based on a mixed Error Correcting Code(ECC)-the convolutional code and the repetition code to enhance the robustness of the embedded watermark. Before embedding, the binary watermark is scanned to one-dimension sequence and later inputted into the (3, 1, 2) convolutional encoder and (3, 1) repetition encoder frame by frame, which will improve the error correcting capability of decoder. The output code sequence is scanned to some matrixes as the new watermark messages. The watermarking is selected in low frequency band of the Discrete Wavelet Transform (DWT) and therefore it can resist the destruction of image processing. Experimental results are presented to demonstrate that the robustness of a watermark with mixed ECC is much higher than the traditional one just with repetition coding while suffering JPEG lossy compression, salt and pepper noise and center cutting processing.

Keywords

Error Correcting Code; Discrete Wavelet Transform; Mixed ECC; Watermarking

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	C.-H. Huang and J.-L. Wu, “Attacking Visible WaterMarking Schemes,” IEEE Transactions on Multimedia, Vol. 6, No. 1, 2004, pp. 16-30. doi:10.1109/TMM.2003.819579
[2]	J. Tian, “Wavelet-Based Reversible Watermarking for Authentication,” Proceedings of SPIE Security and Watermarking of Multimedia Contents III, San Jose, 21 January 2002, pp. 679-690. doi:10.1117/12.465329
[3]	D. M. Thodi and J. J. Rodriquez, “Prediction-Error-Based Reversible Watermarking,” Proceedings of the International Conference on Image Processing of the IEEE ICIP, 24-27 October 2004, pp. 1549-1552. doi:10.1109/ICIP.2004.1421361
[4]	I. J. Cox and M. L. Miller, “The First 50 Years of Electronic Watermarking,” Journal of Applied Signal Processing, Vol. 56, No. 2, 2002, pp. 126-132.
[5]	D. M. Thodi and J. J. Rodriquez, “Expansion Embedding Techniques for Reversible Watermarking,” IEEE Transactions on Image Processing, Vol. 16, No. 3, 2007, pp. 721-730. doi:10.1109/TIP.2006.891046
[6]	Y. J. Hu, S. Kwong and J. W. Huang, “An Algorithm for Removable Visible Watermarking,” IEEE Transactions on Circuits Systems for Video Technology, Vol. 16, No. 1, 2006, pp. 129-133. doi:10.1109/TCSVT.2005.858742
[7]	C. I. Podilchuk and E. J. Delp, “Digital Watermarking: Algorithms and Applications,” IEEE Signal Processing Magazine, Vol. 18, No. 4, 2001, pp. 33-46. doi:10.1109/79.939835
[8]	M. U. Celik, G. Sharma and A. M. Tekalp, “Lossless Watermarking for Image Authentication: A New Framework and an Implementation,” IEEE Transactions on Image Processing, Vol. 15, No. 4, 2006, pp. 1042-1049. doi:10.1109/TCP.2005.863053
[9]	A. van Leest, M. van der Veen and F. Bruekers, “Reversible Image Watermarking,” Proceedings of the International Conference on Image Processing, Barcelona, 1417 September 2003, pp. 731-734. doi:10.1109/ICIP.2003.1246784
[10]	M. Barni, F. Bartolini and A. Piva, “Improved Wavelet-Based Watermarking through Pixel-Wise Masking,” IEEE Transactions on Image Processing, Vol. 10, No. 5, 2001, pp.783-791. doi:10.1109/83.918570
[11]	J. Yang, M. H. Lee and X. H. Chen, et a1., “Mixing Chaotic Watermarks for Embedding in Wavelet Transform domain,” Proceedings of IEEE International Symposium on Circuits and Systems, New York, 26-29 May 2002, pp. 668-671. doi:10.1109/ISCAS.2002.1011441
[12]	K.-X. Yi, J.-Y. Shi and X. Sun, “Digital Watermarking Techniques: An Introductory Revive,” Journal of Image Graphics, Vol. 6, No, 2, 2001, pp. 111-117.