Volume 9 Number 6 (Jun. 2014)
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JCP 2014 Vol.9(6): 1497-1502 ISSN: 1796-203X
doi: 10.4304/jcp.9.6.1497-1502

A SVD Feature based Watermarking Algorithm for Gray-level Image Watermark

Wei Wang1, 2, Wenhui Li1, Yongkui Liu2, Borut Žalik3
1College of Computer Science and Technology, Jilin University, Changchun, China
2Computer School, Dalian Nationalities University, Dalian, China
3Computer School, University of Maribor, Maribor, Slovenia


Abstract—In this paper, a novel gray-level image watermarking algorithm based on Singular Value Decomposition (SVD) feature and neural network is presented for copyright protection. Firstly, a new method which encodes the gray-level secret information into bit string is used. It uses the eigenvalues of SVD to extract the most valuable features of the watermark image and reduces lots of redundant information. Then based on human visual system’s characteristic, the SVV (Singular Value and Variance) method is adopted to analyze the host image and choose the regions suitable for watermark embedding. Finally, the back propagation neural network is utilized for watermark recovery. Relying on the information contained in the extracted eigenvalues, the neural network is trained to recognize the original watermark. The application of the proposed scheme makes the gray-level watermark capable of transparent hiding. Results demonstrate that our method is robust to the intentional attacks and performs better than traditional methods.

Index Terms—SVD, Neural Network, Watermarking, Singular Value

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Cite: Wei Wang, Wenhui Li, Yongkui Liu, Borut Žalik, "A SVD Feature based Watermarking Algorithm for Gray-level Image Watermark," Journal of Computers vol. 9, no. 6, pp. 1497-1502, 2014.

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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