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SVD-based digital image watermarking using complex wavelet transform

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Abstract

A new robust method of non-blind image watermarking is proposed in this paper. The suggested method is performed by modification on singular value decomposition (SVD) of images in Complex Wavelet Transform (CWT) domain while CWT provides higher capacity than the real wavelet domain. Modification of the appropriate sub-bands leads to a watermarking scheme which favourably preserves the quality. The additional advantage of the proposed technique is its robustness against the most of common attacks. Analysis and experimental results show much improved performance of the proposed method in comparison with the pure SVD-based as well as hybrid methods (e.g. DWT-SVD as the recent best SVD-based scheme).

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References

  • Chandra D V S 2002 Digital image watermarking using singular value decomposition. In: Proc. of 45th IEEE Midwest Symposium on Circuits and Systems Tulsa Oklahoma: III 264–III 267

  • Chen B, Wornell G 2001 Quantization index modulation: A class of provably good methods for digital watermarking and information embedding. IEEE Int. Symposium on Information Theory 1423–1443

  • Cox I J, Kilian J, Leighton T, Shamoon T 1997 Secure spread spectrum watermarking for multimedia. IEEE Trans. on Image Processing 6(12): 1673–1687

    Article  Google Scholar 

  • Darmstaedter V, Delaigle J F, Quisquater J J, Macq B 1998 Low Cost Spatial Watermarking. Computers and Graphics 22(4): 417–424

    Article  Google Scholar 

  • Ganic E, Eskicioglu A M 2005 Robust embedding of visual watermarks using Dwt-Svd. J. Electronic Imaging 1–13

  • Ganic E, Zubair N, Eskicioglu A M 2003 An optimal watermarking scheme based on singular value decomposition. In: Proc. of the IASTED Int. Conf. on Communication, Network, and Information Security (CNIS 2003) Uniondale, NY: 85–90

  • Gorodetskii V I, Samoilov V I 2003 Simulation-based exploration of SVD-based technique for hidden communication by image steganography channel. In: Proc. of the 2nd Int. Workshop on Mathematical Methods, Models, and Architectures for Computer Network Security MMM-ACNS Russia

  • Guitart Pla O, Lin E T, Delp E J 2004 A wavelet watermarking algorithm based on a tree structure. In: Proc. of the SPIE Int. Conf. on security, steganography, andwatermarking of multimedia contents VI 5306, San Jose

  • Guo H, Georganas N D 2003 Digital image watermarking for joint ownership verification without a trusted dealer. In: Proc. Internation Conf. Multimedia and Expo, IEEE ICME 2003 Baltimore, USA, II: 497–500

    Google Scholar 

  • Ho A T S, Chow A K K, Woon J 2003 Robust digital image-in-image watermarking algorithm using the fast hadamard transform IEEE Int. Symposium on Circuits and Systems Thailand, 3: 826–829

    Google Scholar 

  • Jung Y J, Hahn M, Ro Y M 2003 Spatial frequency band division in human visual system based-watermarking. Lecture Notes in Computer Science 2613: 211–232

    Article  Google Scholar 

  • Kingsbury N G 2005 Complex wavelets for shift invariant analysis and filtering of signals. J. Applied Computational Harmonic Analysis 10(3): 234–253

    Article  MathSciNet  Google Scholar 

  • Kutter M, Petitcolas F A P 2000 Fair evaluation methods for image watermarking systems. J. Electronic Imaging 9(4): 445–455

    Article  Google Scholar 

  • Liu R Z, Tan T N 2002 SVD-based watermarking scheme for protecting rightful ownership. IEEE Trans. on Multimedia 4(1): 121–128

    Article  Google Scholar 

  • Loo P, Kingsbury N G 2000 Digital watermarking using complex wavelets. Int. Conf. on Image Processing 29–32

  • Loo P, Kingsbury N G 2000 Digital watermarking with complex wavelets. In: Proc. IEE Colloquium on Secure Image and Image authentication London, 10/1–10/7

  • Loo P 2002 Digital watermarking using complex wavelets. PhD dissertation, University of Cambridge

  • Nikolaidis N, Pitas I 1998 Robust image watermarking in the spatial domain. Signal Processing (EURASIP) 66(3): 385–403

    MATH  Google Scholar 

  • Papas T N, Safranek R J 2000 Perceptual criteria for image quality evaluation in Handbook of Image and Video Processing, Bovik A C (ed.), Academic Press

  • Petitcolas F A P, Anderson R J 1999 Evaluation of copyright marking systems. In: IEEE Multimedia Systems, Italy, (ICMCS’99), 574–579

  • Selesnick I W 2002 The design of approximate Hilbert transform pairs of wavelet bases. IEEE Trans. on Signal Processing 50(5): 1144–1152

    Article  MathSciNet  Google Scholar 

  • Selesnick I W, Li K.-L 2003 Video denoising using 2D and 3D dual-tree complex wavelet transforms. In: Proc. Wavelet: Applications in Signal and Image Processing X (Proc. SPIE 5207), San Diego

  • Selesnick I W, Baraniuk R G, Kingsbury N G 2005 The dual-tree complex wavelet transform. IEEE Signal Processing Magazine 22(6): 123–151

    Article  Google Scholar 

  • Terzija N, Geisselhardt W 2004 Digital image watermarking using complex wavelet transform. In: Proc. ACM Multimedia and Security, Magdeburg, Germany 193–198

  • Wang B, Wang Y, Selesnick I W, Vetro A 2004 An investigation of 3D dual-tree wavelet transform for video coding. In: Proc. of Int. Conf. on Image Processing (ICP04), Singapore 2: 1317–1320

    Google Scholar 

  • Wang Z, Bovik A C, Sheikh H R, Simoncelli E P 2003 The SSIM index for image quality assessment. New York University and University of Texas at Austin, (accessible at http://www.cns.nyu.edu/~lcv/ssim/)

  • Wang Z, Bovik A C, Sheikh H R, Simoncelli E P 2004 Image quality assessment: From error measurement to structural similarity. IEEE Trans. on Image Processing 13(4): 600–612

    Article  Google Scholar 

  • Wang Z, Bovik A C 2002Auniversal image quality index. IEEE Signal Processing Letters 9(3): 81–84

    Article  Google Scholar 

  • Wu H R, Rao K R 2006 Digital video image quality and perceptual coding. In CRC Press, Taylor & Francis group

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Mansouri, A., Mahmoudi Aznaveh, A. & Torkamani Azar, F. SVD-based digital image watermarking using complex wavelet transform. Sadhana 34, 393–406 (2009). https://doi.org/10.1007/s12046-009-0016-y

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  • DOI: https://doi.org/10.1007/s12046-009-0016-y

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