Watermarking Algorithm Based on Quantization Index Modulation and Singular Value Decomposition

Article Preview

Abstract:

This paper presents a blind watermarking algorithm based on quantization index modulation (QIM) and singular value decomposition (SVD) in the wavelet domain. Obtain approximation sub band of the wavelet domain coefficient matrix by performing a wavelet transform on host image. The QIM technique determines the quantization step for each embedding block. The SVD technique is modified the SVs of each embedding block. The watermark encrypted by a chaos sequence generated by Lorenz chaotic system is embedded the host image. The experiments show that this paper presented algorithm in various attacks against the image has good robustness especially for against geometric attacks and image compression.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Pages:

536-540

Citation:

Online since:

July 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Tension, Wei Gang, Zhang Jihong. A wavelet domain robust closed-loop adaptive digital watermarking technology [J]. Electronics. 2003, 31: 1476-1480.

Google Scholar

[2] Ni Rongrong, Ruan Qiuqi. Based on iteration mapping and image content adaptive watermarking algorithm [J]. Communications, 2004, 25(5): 182-189.

Google Scholar

[3] X. Xia, C.G. Bonceletand, and G.R. Arce, A Multiresolution Watermarking for Digital Images, , Proc. Of Int conf. on Image Processing, Vol. 1, pp.548-551, (1997).

Google Scholar

[4] M. Tsai, K.Y. Yu, and Y.Z. Chen, Joint Wavelet and Spatial Transform for Digital Watermarking, IEEE Trans. on Consumer Electronics, Vol. 46, No. 1, pp.241-245, (2000).

DOI: 10.1109/30.826405

Google Scholar

[5] Z.H. Wei, P. Qin, and Y.Q. Fu, Perceptual Digital Watermark of Images Using Wavelet Transform, IEEE Trans. on Consumer Electronics, Vol. 44, No. 4, pp.1267-1272, (1998).

DOI: 10.1109/30.735826

Google Scholar

[6] M. Barni, F. Bartolini, and A. Piva, Improved_Wavelet-Based Watermarking through Pixel-Wise Masking, IEEE Trans. on Image Processing, Vol. 10, No. 5, pp.783-791, (2001).

DOI: 10.1109/83.918570

Google Scholar

[7] Ling Hefei, LU Zheng, ZOU Fu-good. Against geometric attacks of Digital Watermarking [J]. Computer Engineering and Science. 2006(11): 1312-1315.

Google Scholar

[8] V.I. Gorodetski, L.J. Popyack, and V. Samoilov, SVD-Based Approach to Transparent Embedding Data into Digital Images, Proc. of Int. Workshop on MMM-ACNS, pp.263-274, (2001).

DOI: 10.1007/3-540-45116-1_26

Google Scholar

[9] E. Ganic and A.M. Eskicioglu, Robust DWT-SVD Domain Image Watermarking: Embedding Data in All Frequencies, Proc. of Int. Workshop on Multimedia and Security, pp.166-174, (2004).

DOI: 10.1145/1022431.1022461

Google Scholar

[10] P. Bao and X. Ma, Image Adaptive Watermarking Using Wavelet Domain Singular Value Decomposition, IEEE Trans. on CSVT, Vol. 15, No. 1, pp.96-102, (2005).

DOI: 10.1109/tcsvt.2004.836745

Google Scholar

[11] Rui Zhen, TAN Tie-Niu. Based on singular value decomposition of the digital image watermarking method [J]. Electronics. 2001,vo129(2): 168-171.

Google Scholar