A novel robust logo watermarking scheme using fractional M-band wavelet transform

Theory and Methods of Signal Processing

Abstract

Digital watermarking, means of hiding/inserting a message, which can be an image, audio, video or text within the digital media. This hidden/inserting message can be later being extracted or detected for a variety of purposes. In this paper, a novel multi-resolution logo watermarking scheme using fractional M-band wavelet transform (Fr-M-band-WT) is proposed. The watermark is embedded in the multiresolution Fr-M-band-WT coefficients of low frequency bands of the host image using singular value decomposition (SVD). A multi-resolution nature of Fr-M-band-WT is exploited in the process of edge detection. Experimental results of the proposed logo watermarking scheme are compared with the previously available watermarking algorithms, fractional Fourier transform (FrFT), fractional wavelet transform (FrWT). Further, the proposed watermark extraction scheme is also tested on different attacks. The results after being investigated the proposed watermarking scheme shows a significant improvement as compared to other existing methods.

Keywords

Logo Watermarking Fractional Fourier Transform (FrFT) Fractional Wavelet Transform (FrWT) Multiresolution Watermarking 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    I. J. Cox, J. Killian, F. T. Leighton, T. Shamoon, “Secure spread spectrum watermarking for multimedia,” IEEE Trans. Image Process. 6, 1673–1687 (1997).CrossRefGoogle Scholar
  2. 2.
    X. Xia, C. G. Boncelet, and G. R. Arce, “A multiresolution watermark for digital images,” in Proc. 4th IEEE Int. Conf. on Image Processing, Santa Barbara, CA, 1997 (IEEE, New York, 1997), vol. 3, pp. 548–551.Google Scholar
  3. 3.
    M. Barni, F. Bartiloni, V. Cappellini, and A. Piva, “A DCT domain system for robust image watermarking,” Signal Process. 66, 357–372 (1998).CrossRefMATHGoogle Scholar
  4. 4.
    M. S. Hwang, C. C. Chang, and K. F. Hwang, “A watermarking technique based on one-way hash functions,” IEEE Trans. Consum. Electron. 45, 286–294 (1999).CrossRefGoogle Scholar
  5. 5.
    I. Djurovic, S. Stankovic, and I. Pitas, “Digital watermarking in the fractional Fourier transformation domain,” J. Network Comput. Appl. 24, 167–173 (2001).CrossRefGoogle Scholar
  6. 6.
    X. D. Zhang, J. Feng, and K. T. Lo, “Image watermarking using tree-based spatial-frequency feature of wavelet transform,” J. Visual Commun. Image Represent. 14, 474–491 (2003).CrossRefGoogle Scholar
  7. 7.
    A. M. Alattar, E. T. Lin, and M. U. Celik, “Digital watermarking of low bit-rate advanced simple profile MPEG-4 compressed video,” IEEE Trans. Circuits Syst. Video Technol. 13(8), (2003).Google Scholar
  8. 8.
    D. Zheng, J. Zhao, and A. El Saddik, “RST invariant digital image watermarking based on log-polar mapping and phase correlation,” IEEE Trans. Circuits Syst. Video Technol. 13, 1–14 (2003).CrossRefGoogle Scholar
  9. 9.
    Chin-Shiuh Shieh, Hsiang-Cheh Huang, Feng-Hsing-wang, and Jeng-Shyang Pan, “An embedding algorithm for multiple watermarks,” J. Inf. Sci. Eng.” 19, 381–395 (2003).Google Scholar
  10. 10.
    D. Kundur and D. Hatzinakos, “Towards robust logo watermarking using multiresolution image fusion,” IEEE Trans. Multimedia 6, 185–197 (2004).CrossRefGoogle Scholar
  11. 11.
    S. H. Wang and Y. P. Lin, “Wavelet tree quantization for copyright protection watermarking,” IEEE Trans. Image Process. 13, 154–165 (2004).CrossRefGoogle Scholar
  12. 12.
    F. Q. Yu, Z. K. Zhangi, and M. H. Xu, “A digital watermarking algorithm for image based on fractional Fourier transform,” in Proc. of 1st IEEE Conf. on Industrial Electronics and Applications, Singapore, May, 2006 (IEEE, New York, 2006), pp. 1–5.Google Scholar
  13. 13.
    Yuxin Liu, Bin Ni, Xiaojun Feng, and E. J. Delp, “Lapped-orthogonal-transform-based adaptive image watermarking,” J. Electron. Imaging 15, 013009-1–9 (2006).Google Scholar
  14. 14.
    P. Kumsawat, K. Attakitmongcol, and A. Srikaew, “A Robust Image Watermarking Scheme Using Multiwavelet Tree,” in Proc. World Congress on Engineering (WCE, 2007), Vol. 1, pp. 612–618.Google Scholar
  15. 15.
    J. Liu, and Z. Lu, “A Multipurpose Audio Watermarking Algorithm Based on Vector Quantization in DCT Domain,” World Academy of Science, Engineering and Technology, 55, 618–623 (2009).Google Scholar
  16. 16.
    Jiang Xuehua, “Digital watermarking and its application in image copyright protection,” in Proc. Int. Conf. on Intelligent Computation Technology and Automation, Sch. of Eng., Linyi Normal Univ., Linyi, China, 2010 (Linyi Normal Univ., Linyi, 2010), pp. 114–117.CrossRefGoogle Scholar
  17. 17.
    Xinge You, Liang Du, Yiu-ming Cheung, and Qiuhui Chen, “A blind watermarking scheme using new nontensor product wavelet filter banks,” IEEE Trans. Image Process. 19, 3271–3284 (2010).CrossRefMathSciNetGoogle Scholar
  18. 18.
    Tetsuya Kojima, Naoki Ohtani, Takahiro Matsumoto, and Udaya Parampalli, “A blind digital watermarking scheme based on complete complementary codes,” in Communications Theory Workshop (AusCTW) (Univ. of Melbourne, Melbourne, VIC, Australia, 2011), pp. 1–6.Google Scholar
  19. 19.
    Z. Feng, M. Xiaomin, and Y. Shouyi, “Multiple-chirp typed blind watermarking algorithm based on fractional Fourier transformin,” in Proc. Int. Symp. on Intelligent Signal Processing and Communication Systems, 2005 (IEEE, New York, 2005), pp. 141–144.CrossRefGoogle Scholar
  20. 20.
    M. Barni, F. Bartiloni, and A. Piva, “Improved wavelet based watermarking through pixel wise masking,” IEEE Trans. Image Process. 10, 783–791 (2001).CrossRefMATHGoogle Scholar
  21. 21.
    P. Meerwald and A. Uhl, “A survey of Wavelet-Domain Watermarking Algorithmsin,” in Proc. SPIE, Electronic Imaging, Security and Watermarking of Multimedia Contents III, San Jose, CA, USA, 2001 (SPIE, 2001), Vol. 43.Google Scholar
  22. 22.
    V. Namias, “The fractional order Fourier transform and its application to quantum mechanics,” IMA J. Appl. Math. 25, 241–265 (1980).CrossRefMATHMathSciNetGoogle Scholar
  23. 23.
    A. C. McBride, F. H. Kerr, “On Namias’s fractional Fourier transforms,” IMA J Appl. Math. 39, 159–175 (1987).CrossRefMATHMathSciNetGoogle Scholar
  24. 24.
    R. A. Gopinath, and C. S. Burrus, “Wavelets and filter banks,” in Wavelets: a Tutorial in Theory and Applications, Ed. by C.K. Chui (Academic, San Diego, CA, 1992), pp. 603–654.CrossRefGoogle Scholar
  25. 25.
    S. Mallat, “A Theory for multiresolution signal decomposition: the wavelet representation,” IEEE Trans. Pattern. Anal. Mach. Intell. 11, 674–693 (1989).CrossRefMATHGoogle Scholar
  26. 26.
    O. Rioul and M. Veterli, “Wavelets and signal processing,” IEEE Signal Process. Mag. 8, 14–38, (1991).CrossRefGoogle Scholar
  27. 27.
    I. Daubechies, “Orthonormal bases of compactly supported wavelets,” Commun. Pure Appl. Math., 41, 909–996 (1988).CrossRefMATHMathSciNetGoogle Scholar
  28. 28.
    H. Zou, and A.H. Tewfik, “Discrete orthogonal M-band wavelet decompositions,” in Proc. Int. Conf. on Acoustic Speech and Signal Processing, 1992, Vol. 4, pp. IV-605–IV-608.Google Scholar
  29. 29.
    C. Chaux, L. Duval, and J. C. Pesquet, “Hilbert pairs of M-band orthonotmal wavelet bases,” in Proc. Eur. Sig. and Image Proc. Conf., 2004.Google Scholar
  30. 30.
    M. Kokare, P. K. Biswas, and B. N. Chatterji, “Cosinemodulated wavelet based texture features for contentbased image retrieval,” Pattern Recogn. Lett. 25, 391–398 (2004).CrossRefGoogle Scholar
  31. 31.
    G. Bhatnagar and B. Raman, “A new robust reference logo watermarking scheme,” Multimed Tools Appl., 52, 621–640 (2011).CrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Inc. 2014

Authors and Affiliations

  1. 1.FacultyRayat-Bahra Institute of Engineering & Bio-TechnologyKhararIndia
  2. 2.University College of EngineeringPunjabi UniversityPatialaIndia
  3. 3.Thapar UniversityPatialaIndia

Personalised recommendations