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Adaptive, robust and blind digital watermarking using Bhattacharyya distance and bit manipulation

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Abstract

Ownership identification and copyright protection are two major concerns for digital data. Digital watermarking provides the best solution for these issues. In order to preserve the copyright protection and identify the ownership of digital data, a robust blind watermarking method using Bhattacharyya distance and exponential function is proposed. The proposed method is adaptive since the embedding factor is calculated based on the gray scale pixel distribution of the host image. Insertion of watermark is done in two phases in which the first phase is carried out in wavelet domain, and the second phase in spatial domain. Similarly extraction of watermark is done in two phases. The proposed method is tested using standard benchmark color images and a binary watermark. The proposed method is analyzed with various image and signal processing attacks and compared with other methods. The results show that the proposed method has better performance than other methods.

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References

  1. Abdallah H A, Ghazy R A, Kasban H, Faragallah O S, Shaalan A A, Hadhoud M M, Dessouky M I, El-Fishawy N A, Alshebeili S A, El-samie F E A (2014) Homomorphic image watermarking with a singular value decomposition algorithm. Inf Process Manag 50(6):909–923

    Article  Google Scholar 

  2. Bhattacharyya A (1946) On a measure of divergence between two multinomial populations. Sankhyā: Ind J Stat:401–406

  3. Busch C, Funk W, Wolthusen S (1999) Digital watermarking: from concepts to real-time video applications. Technical report, DTIC Document

  4. Chang C-C, Tsai P, Lin C-C (2005) Svd-based digital image watermarking scheme. Pattern Recog Lett 26(10):1577–1586

    Article  Google Scholar 

  5. Choi E, Lee C (2003) Feature extraction based on the bhattacharyya distance. Pattern Recog 36(8):1703–1709

    Article  Google Scholar 

  6. Fazlali H R, Samavi S, Karimi N, Shirani S (2016) Adaptive blind image watermarking using edge pixel concentration. Multimed Tools Appl:1–16

  7. Hartung F, Kutter M (1999) Multimedia watermarking techniques. Proc IEEE 87(7):1079–1107

    Article  Google Scholar 

  8. Horng S-J, Rosiyadi D, Li T, Takao T, Guo M, Khan MK (2013) A blind image copyright protection scheme for e-government. J Vis Commun Image Represent 24(7):1099–1105

    Article  Google Scholar 

  9. Hsu L-Y, Hwai-Tsu H (2015) Blind image watermarking via exploitation of inter-block prediction and visibility threshold in dct domain. J Vis Commun Image Represent 32:130–143

    Article  Google Scholar 

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

    Article  Google Scholar 

  11. Hwai-Tsu H, Hsu L-Y (2016) A mixed modulation scheme for blind image watermarking. AEU-Int J Electron Commun 70(2):172–178

    Article  Google Scholar 

  12. Khotanzad A, Bouarfa A (1990) Image segmentation by a parallel, non-parametric histogram based clustering algorithm. Pattern Recogn 23(9):961–973

    Article  Google Scholar 

  13. Prathap I, Natarajan V, Anitha R (2014) Hybrid robust watermarking for color images. Comput Electr Eng 40(3):920–930

    Article  Google Scholar 

  14. Qingtang S, Niu Y, Zou H, Liu X (2013) A blind dual color images watermarking based on singular value decomposition. Appl Math Comput 219 (16):8455–8466

    MathSciNet  MATH  Google Scholar 

  15. Qingtang S, Niu Y, Zhao Y, Pang S, Liu X (2013) A dual color images watermarking scheme based on the optimized compensation of singular value decomposition. AEU-Int J Electron Commun 67(8):652–664

    Article  Google Scholar 

  16. Qingtang S, Niu Y, Liu X, Yao T (2013) A novel blind digital watermarking algorithm for embedding color image into color image. Optik-Int J Light Electron Opt 124(18):3254–3259

    Article  Google Scholar 

  17. Qingtang S, Niu Y, Wang G, Jia S, Yue J (2014) Color image blind watermarking scheme based on qr decomposition. Signal Process 94:219–235

    Article  Google Scholar 

  18. Singh D, Singh S K (2016) Dwt-svd and dct based robust and blind watermarking scheme for copyright protection. Multimed Tools Appl:1–24

  19. Suhail M A, Obaidat M S, Ipson S S, Sadoun B (2003) A comparative study of digital watermarking in jpeg and jpeg 2000 environments. Inf Sci 151:93–105

    Article  MATH  Google Scholar 

  20. Sun R, Sun H, Yao T (2002) A svd-and quantization based semi-fragile watermarking technique for image authentication. In: 2002 6th International conference on signal processing, vol 2. IEEE, pp 1592–1595

  21. Ta MT, Tanaka K (2015) The novel and robust watermarking method based on q-logarithm frequency domain. Multimed Tools Appl:1–29

  22. Tareef A, Al-Ani A (2015) A highly secure oblivious sparse coding-based watermarking system for ownership verification. Expert Syst Appl 42(4):2224–2233

    Article  Google Scholar 

  23. Tsougenis E D, Papakostas G A, Koulouriotis D E, Karakasis E G (2014) Adaptive color image watermarking by the use of quaternion image moments. Expert Syst Appl 41(14):6408–6418

    Article  Google Scholar 

  24. Wang X-Y, Niu P-P, Yang H-Y, Wang C-P, Wang A-l (2014) A new robust color image watermarking using local quaternion exponent moments. Inf Sci 277:731–754

    Article  Google Scholar 

  25. 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

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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.

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  1. Prasanth Vaidya S.
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  2. Chandra Mouli P. V. S. S. R.
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Corresponding author

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

Additional information

All the test images are obtained from USC-SIPI image database: http://sipi.usc.edu/database/, Hlevkin database: http://www.hlevkin.com/ and Kodak database: http://r0k.us/graphics/kodak/ respectively.

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S., P.V., P. V. S. S. R., C.M. Adaptive, robust and blind digital watermarking using Bhattacharyya distance and bit manipulation. Multimed Tools Appl 77, 5609–5635 (2018). https://doi.org/10.1007/s11042-017-4476-5

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  • DOI: https://doi.org/10.1007/s11042-017-4476-5

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