Choice of Wavelet from Wavelet Families for DWT-DCT-SVD Image Watermarking

achieve the copyright protection in digital images, watermarking is identified as a major technology to protect digital images from illegal manipulation and geometric distortions. In this paper we discuss a digital image watermarking algorithm based on Discrete Wavelet Transform - Discrete Cosine Transform -Singular Value Decomposition (DWT-DCT-SVD). Here in this paper we examined and compared various wavelet families such as Haar, Daubechies, Biorthogonal and Coiflets for the watermarking algorithm. The difference in this method, from other traditional methods is that the watermark is embedded in high frequency band. Traditionally it is assumed that for having good robustness, a watermark should be embedded in low or mid frequency.DWT provides scalability, DCT provides compression and SVD offers minimum or no distortion. Choice of wavelets depends on the choice of wavelet function as DWT can be composed of any function that satisfies requirements of multiresolution analysis. In each of these wavelet families we analyzed effects of wavelets on image quality. The simulation results show good performance with respect to robustness against various image processing operations.

[1]  Zhao Rui-mei,et al.  A Blind Watermarking Algorithm Based on DCT , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

[2]  Mislav Grgic,et al.  Image compression using wavelets , 1999, ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No.99TH8465).

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

[4]  TanTieniu,et al.  An SVD-based watermarking scheme for protecting rightful ownership , 2002 .

[5]  Achintya Singhal,et al.  Comparison of different wavelets for watermarking of colored images , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[6]  Jianmin Zhao,et al.  A Digital Watermarking Algorithm and Implementation Based on Improved SVD , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[7]  Ying Wang,et al.  Toward a Better Understanding of DCT Coefficients in Watermarking , 2008, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application.

[8]  Ju Liu,et al.  A Robust Image Watermarking Scheme Based on the Relationship of SVD , 2008, 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[9]  Aihua Li,et al.  Robust Watermarking Scheme Based on Singular Value of Decomposition in DWT Domain , 2009, 2009 Asia-Pacific Conference on Information Processing.

[10]  Xiaonian Tang,et al.  An Improved Robust Watermarking Technique in Wavelet Domain , 2010, 2010 Second International Conference on Multimedia and Information Technology.

[11]  Fu Li,et al.  Adaptive image watermarking algorithm based on biorthogonal wavelet transform , 2011, 2011 International Conference on E-Business and E-Government (ICEE).

[12]  William R. Zettler,et al.  Application of compactly supported wavelets to image compression , 1990, Other Conferences.

[13]  Ahmet M. Eskicioglu,et al.  Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition , 2005, J. Electronic Imaging.

[14]  W. C. Chu,et al.  DCT-based image watermarking using subsampling , 2003, IEEE Trans. Multim..

[15]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[16]  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.

[17]  S S Bedi,et al.  Robust Secure SVD Based DCT – DWT Oriented Watermarking Technique for Image Authentication , 2009 .

[18]  V. Groza,et al.  A hybrid watermarking technique using singular value decomposition , 2008, 2008 IEEE International Workshop on Haptic Audio visual Environments and Games.

[19]  V. K. Srivastava,et al.  A biorthogonal wavelet transform based robust watermarking scheme , 2012, 2012 IEEE Students' Conference on Electrical, Electronics and Computer Science.

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

[21]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Marimuthu Palaniswami,et al.  Even-length biorthogonal wavelets for digital watermarking , 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

[23]  Ben Wang,et al.  An image watermarking algorithm based on DWT DCT and SVD , 2009, 2009 IEEE International Conference on Network Infrastructure and Digital Content.

[24]  K. A. Navas,et al.  DWT-DCT-SVD based watermarking , 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

[25]  Ahmet M. Eskicioglu,et al.  ROBUST EMBEDDING OF VISUAL WATERMARKS USING DWT-SVD , 2005 .

[26]  M. Weeks,et al.  Watermarking with wavelets: Simplicity leads to robustness , 2008, IEEE SoutheastCon 2008.