Volume 7 Number 10 (Oct. 2012)
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JCP 2012 Vol.7(10): 2549-2556 ISSN: 1796-203X
doi: 10.4304/jcp.7.10.2549-2556

A Robust Watermarking Against Shearing Based on Improved S-Radon Transformation

Deng Minghui1, 2, Zeng Qingshuang1, Zhou Xiuli2
1School of Astronautics, Harbin Institute of Technology
2Department of Engineering, Northeast Agricultural University, Harbin, China


Abstract—In this paper, a robust image watermarking method in two-dimensional space/spatial-frequency distributions domain is proposed which is robust against geometric distortion. This watermarking is detected by a linear frequency change. The one-dimensional S transformation and radon transformation are used to detect the watermark. The chirp signals are used as watermarks and this type of signals is resistant to all stationary filtering methods and exhibits geometrical symmetry. In the twodimensional Radon-Wigner transformation domain, the chirp signals used as watermarks change only its position in space/spatial-frequency distribution, after applying linear geometrical attack, such as scale rotation and cropping. But the two-dimensional Radon-Wigner transformation needs too much difficult computing. So the image is put into a series of 1D signal by choosing scalable local time windows. The watermark embedded in the 1D improved S-Radon transformation domains. The watermark thus generated is invisible and performs well in StirMark test and is robust to geometrical attacks. Compared with other watermarking algorithms, this algorithm is more robust, especially against geometric distortion, while having excellent frequency properties.

Index Terms—Digital watermarking, improved S-Radon transform, Geometrical attack.

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Cite: Deng Minghui, Zeng Qingshuang, Zhou Xiuli, "A Robust Watermarking Against Shearing Based on Improved S-Radon Transformation," Journal of Computers vol. 7, no. 10, pp. 2549-2556, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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