Robust Digital Image Watermarking in DWT-SVD Domain

Digital multimedia content protection has increasingly become an important issue. Because image watermarking is identified as a major technology used in copyright protection, a key requirement for image watermarking is the development of its imperceptibility and robustness. To meet this requirement, a novel robust image watermarking scheme based on discrete wavelet transform (DWT), singular value decomposition (SVD), and chaotic mixtures is proposed in this paper, In this method, the singular values of the encrypt watermark are embedded on the singular values of the important inscribed circle domain of normalized cover image's DWT sub-bands. Experimental results illustrate that this approach is robust to a wide range of attacks, especially geometrical attacks.

[1]  Veysel Aslantas,et al.  DWT-SVD based image watermarking using Particle Swarm Optimizer , 2008, 2008 IEEE International Conference on Multimedia and Expo.

[2]  Gwi-Tae Park,et al.  Affine-Invariant Image normalization for Log-Polar Images using Momentums , 2003 .

[3]  Rong-Ching Wu,et al.  Analysis of the Exponential Signal by the Interpolated DFT Algorithm , 2010, IEEE Transactions on Instrumentation and Measurement.

[4]  Gaurav Bhatnagar,et al.  A new robust reference logo watermarking scheme , 2011, Multimedia Tools and Applications.

[5]  Tieniu Tan,et al.  An SVD-based watermarking scheme for protecting rightful ownership , 2002, IEEE Trans. Multim..

[6]  Chih-Chin Lai,et al.  Digital Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition , 2010, IEEE Transactions on Instrumentation and Measurement.

[7]  John Håkon Husøy,et al.  A critique of SVD-based image coding systems , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

[8]  Jar-Ferr Yang,et al.  Combined techniques of singular value decomposition and vector quantization for image coding , 1995, IEEE Trans. Image Process..

[9]  Ioannis Pitas,et al.  Asymptotically optimal detection for additive watermarking in the DCT and DWT domains , 2003, IEEE Trans. Image Process..

[10]  Edward J. Delp,et al.  Digital watermarking: algorithms and applications , 2001, IEEE Signal Process. Mag..

[11]  Dianne P. O'Leary,et al.  Digital Image Compression by Outer Product Expansion , 1983, IEEE Trans. Commun..

[12]  Tor A. Ramstad,et al.  Hybrid KLT-SVD image compression , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  D. Chandra Digital image watermarking using singular value decomposition , 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

[14]  Victor A. Skormin,et al.  SVD-Based Approach to Transparent Embedding Data into Digital Images , 2001, MMM-ACNS.

[15]  Jun Sang,et al.  Fragility and Robustness of Binary-Phase-Only-Filter-Based Fragile/Semifragile Digital Image Watermarking , 2008, IEEE Transactions on Instrumentation and Measurement.

[16]  Gao Fei A Digital Image Encryption Algorithm Based on Chaotic Sequences , 2006 .

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

[18]  Hao-Tian Wu,et al.  Reversible Watermarking by Modulation and Security Enhancement , 2010, IEEE Transactions on Instrumentation and Measurement.

[19]  Qiang Li,et al.  Adaptive DWT-SVD Domain Image Watermarking Using Human Visual Model , 2007, The 9th International Conference on Advanced Communication Technology.

[20]  Frank Hartung,et al.  Multimedia watermarking techniques , 1999, Proc. IEEE.

[21]  H. Andrews,et al.  Singular Value Decomposition (SVD) Image Coding , 1976, IEEE Trans. Commun..

[22]  Ahmet M. Eskicioglu,et al.  Robust DWT-SVD domain image watermarking: embedding data in all frequencies , 2004, MM&Sec '04.

[23]  Edward J. Delp,et al.  Advances in Digital Video Content Protection , 2005, Proceedings of the IEEE.

[24]  N. Garguir Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images , 1979, IEEE Trans. Commun..