A robust color image watermarking with Singular Value Decomposition method

The performance of a watermarking method based on Singular Value Decomposition (SVD) has been improved for color image in this paper. One of the common methods used for hiding information on image files is Singular Value Decomposition method which used in the frequency domain. In Singular Value Decomposition based watermarking techniques; watermark embedding can usually be achieved by modifying the least significant bits of the singular value matrix. This paper gives application results which show the watermarking security of using this algorithm for the watermarking and demonstrate the accuracy of these methods. The performance comparison of the algorithms was also realized.

[1]  Gregory W. Wornell,et al.  Achievable performance of digital watermarking systems , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[2]  Chun-Shien Lu,et al.  Multimedia Security: Steganography and Digital Watermarking Techniques for Protection of Intellectual Property , 2004 .

[3]  Richard P. Wildes,et al.  Iris recognition: an emerging biometric technology , 1997, Proc. IEEE.

[4]  Shi-Jinn Horng,et al.  A wavelet-tree-based watermarking method using distance vector of binary cluster , 2009, Expert Syst. Appl..

[5]  M.Y. Joshi,et al.  Robust image watermarking based on singular value decomposition and discrete wavelet transform , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[6]  Afzel Noore,et al.  An Improved Method to Watermark Images Sensitive to Blocking Artifacts , 2007 .

[7]  Richa Singh,et al.  Digital watermarking based secure multimodal biometric system , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[8]  Ingemar J. Cox,et al.  Digital Watermarking , 2003, Lecture Notes in Computer Science.

[9]  Wenjun Zeng,et al.  Perceptual watermarking of still images , 1997, Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing.

[10]  Chen Jian.  A Geometric Distortion Resilient Image Watermarking Algorithm Based on SVD , 2004 .

[11]  Frank Bossen,et al.  Digital watermarking of color images using amplitude modulation , 1998, J. Electronic Imaging.

[12]  Piotr Gutkowski.  Algorithm for retrieval and verification of personal identity using bimodal biometrics , 2004, Inf. Fusion.

[13]  Dong-Sik Jang,et al.  Expert system for low frequency adaptive image watermarking: Using psychological experiments on human image perception , 2007, Expert Syst. Appl..

[14]  Stephen M. Matyas,et al.  A Biometric Standard for Information Management and Security , 2000, Comput. Secur..

[15]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[16]  Ahmet M. Eskicioglu,et al.  Robust DCT-SVD domain image watermarking for copyright protection: Embedding data in all frequencies , 2005, 2005 13th European Signal Processing Conference.

[17]  Thierry Pun,et al.  Rotation, scale and translation invariant spread spectrum digital image watermarking , 1998, Signal Process..

[18]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[19]  Richa Singh,et al.  Robust memory-efficient data level information fusion of multi-modal biometric images , 2007, Inf. Fusion.

[20]  Ingemar J. Cox,et al.  Rotation, scale, and translation resilient watermarking for images , 2001, IEEE Trans. Image Process..

[21]  Ton Kalker,et al.  Security analysis for biometric data in ID documents , 2005, IS&T/SPIE Electronic Imaging.

[22]  Hongbo Bi,et al.  A blind robust watermarking scheme based on CT and SVD , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[23]  Michael Wagner,et al.  Robust face-voice based speaker identity verification using multilevel fusion , 2008, Image Vis. Comput..