[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Springer Nature Link
Log in

A robust semi-blind watermarking for color images based on multiple decompositions

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

An Erratum to this article was published on 13 March 2017

This article has been updated

Abstract

In this paper, a robust semi-blind watermarking scheme for color images, based on multiple decompositions is proposed to preserve the copyrights of the owner. Using multiple decompositions, the gray watermark is embedded into a host color image. Prior to that, to enhance security the gray watermark is encrypted with Arnold transform and SVD by generating secret keys. The luminance component of the given host image is subjected to discrete wavelet transform(DWT), contourlet transform(CT), Schur decomposition and singular value decomposition(SVD) in sequence and finally the watermark is embedded. In the semi-blind extraction process, the watermark is extracted without the help of the original host image. Experimental results show that the proposed watermarking scheme has better visual imperceptibility and high robustness against image & signal processing attacks compared to other methods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25

Similar content being viewed by others

Change history

  • 13 March 2017

    An erratum to this article has been published.

References

  1. Andrews H C, Patterson C L III (1976) Singular value decomposition (svd) image coding. IEEE Trans Commun 24(4):425–432

    Article  Google Scholar 

  2. Bhatnagar G, Wu QMJ, Raman B (2013) A new aspect in robust digital watermarking. Multimed Tools Appl 66(2):179–200

    Article  Google Scholar 

  3. Do M N, Vetterli M (2003) Framing pyramids. IEEE Trans Signal Process 51 (9):2329–2342

    Article  MathSciNet  MATH  Google Scholar 

  4. Dodge Y, Cox D, Commenges D, Solomon PJ , Wilson S et al (2003) The Oxford dictionary of statistical terms. Oxford University Press

  5. Gill P E, Murray W, Saunders M A, Wright M H (1987) A schur-complement method for sparse quadratic programming. Technical report, DTIC Document

  6. Golub G H, Van Loan C F (1989) Matrix computations, the johns hopkins university press baltimore. Golub1989Matrix Computations2

  7. Huynh-Thu Q, Ghanbari M (2008) Scope of validity of psnr in image/video quality assessment. Electrons Lett 44(13):800–801

    Article  Google Scholar 

  8. Kalra G S, Talwar R, Sadawarti H (2015) Adaptive digital image watermarking for color images in frequency domain. Multimed Tools Appl 74(17):6849–6869

    Article  Google Scholar 

  9. Keshavarzian R, Aghagolzadeh A (2015) Roi based robust and secure image watermarking using dwt and arnold map. AEU-Int J Electron Commun

  10. Li D, Mersereau R M, Simske S (2005) Blur identification based on kurtosis minimization. In: IEEE International conference on image processing, 2005. ICIP 2005, vol 1. IEEE, pp I–905

  11. Lie W-N, Chang L-C (2006) Robust and high-quality time-domain audio watermarking based on low-frequency amplitude modification. IEEE Trans Multimed 8(1):46–59

    Article  Google Scholar 

  12. Mardanpour M, Chahooki M A Z (2016) Robust transparent image watermarking with shearlet transform and bidiagonal singular value decomposition. AEU-Int J Electron Commun 70(6):790– 798

    Article  Google Scholar 

  13. Mohammad A A (2012) A new digital image watermarking scheme based on schur decomposition. Multimed Tools Appl 59(3):851–883

    Article  Google Scholar 

  14. Niu P-P, Wang X-Y, Yang Y-P, Ming-Yu L (2011) A novel color image watermarking scheme in nonsampled contourlet-domain. Expert Syst Appl 38 (3):2081–2098

    Article  Google Scholar 

  15. Paige C, Loan C V (1981) A schur decomposition for hamiltonian matrices. Linear Algebra Appl 41:11–32

    Article  MathSciNet  MATH  Google Scholar 

  16. Pakdaman Z, Saryazdi S, Nezamabadi-pour H (2016) A prediction based reversible image watermarking in hadamard domain. Multimed Tools Appl:1–29

  17. Po DDK, Do MN (2003) Directional multiscale modeling of images using the contourlet transform. In: 2003 IEEE Workshop on statistical signal processing. IEEE, pp 262–265

  18. Ranjbar S, Zargari F, Ghanbari M (2013) A highly robust two-stage contourlet-based digital image watermarking method. Signal Process Image Commun 28(10):1526–1536

    Article  Google Scholar 

  19. Run R-S, Horng S-J, Lai J-L, Kao T-W, Chen R-J (2012) An improved svd-based watermarking technique for copyright protection. Expert Syst Appl 39(1):673–689

    Article  Google Scholar 

  20. Shao Z, Shang Y, Zhang Y, Liu X, Guo G (2016) Robust watermarking using orthogonal fourier–mellin moments and chaotic map for double images. Signal Process 120:522–531

    Article  Google Scholar 

  21. Singh A K (2016) Improved hybrid algorithm for robust and imperceptible multiple watermarking using digital images. Multimed Tools Appl:1–18

  22. Skilling J, Bryan R K (1984) Maximum entropy image reconstruction: general algorithm. Month Notices Royal Astronom Soc 211(1):111–124

    Article  MATH  Google Scholar 

  23. Qingtang S, Niu Y, Liu X, Zhu Y (2012) Embedding color watermarks in color images based on schur decomposition. Opt Commun 285(7):1792–1802

    Article  Google Scholar 

  24. Qingtang S, Wang G, Lv G, Zhang X, Deng G, Chen B (2016) A novel blind color image watermarking based on contourlet transform and hessenberg decomposition. Multimed Tools Appl:1–21

  25. Qingtang S, Wang G, Zhang X, Lv G, Chen B (2015) An improved color image watermarking algorithm based on qr decomposition. Multimed Tools Appl:1–23

  26. Tang L, Zhao Z-G (2007) Multiresolution image fusion based on the wavelet-based contourlet transform. In: 2007 10th International conference on information fusion. IEEE, pp 1–6

  27. Vetrivelan P, Subha R R (2005) Wavelet based contourlet transform for image compression. In: Proceeding of international conference of cognition and recognition. IEEE, pp 915–919. Citeseer

  28. Wang X-Y, Miao E-N, Yang H-Y (2012) A new svm-based image watermarking using gaussian–hermite moments. Appl Soft Comput 12(2):887–903

    Article  Google Scholar 

  29. Wang X-Y, Wang A-L, Yang H-Y, Zhang Y, Wang C-P (2014) A new robust digital watermarking based on exponent moments invariants in nonsubsampled contourlet transform domain. Comput Electr Eng 40(3):942–955

    Article  Google Scholar 

  30. Wang Z, Bovik A C, Sheikh H R, Simoncelli E P (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13 (4):600–612

    Article  Google Scholar 

  31. Yadav N, Singh K (2015) Robust image-adaptive watermarking using an adjustable dynamic strength factor. Signal Image Video Process 9(7):1531–1542

    Article  Google Scholar 

  32. Yen E, Li-Hsien L (2010) Rubiks cube watermark technology for grayscale images. Expert Syst Appl 37(6):4033–4039

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computing Science and Engineering VIT University, Vellore, 632014, Tamil Nadu, India

    Prasanth Vaidya S. & Chandra Mouli P. V. S. S. R.

Authors
  1. Prasanth Vaidya S.
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chandra Mouli P. V. S. S. R.
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chandra Mouli P. V. S. S. R..

Additional information

The original version of this article was revised: The authors’ photographs were interchanged.

An erratum to this article is available at https://doi.org/10.1007/s11042-017-4532-1.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

S., P.V., P. V. S. S. R., C.M. A robust semi-blind watermarking for color images based on multiple decompositions. Multimed Tools Appl 76, 25623–25656 (2017). https://doi.org/10.1007/s11042-017-4355-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-4355-0

Keywords

Search

Navigation