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Robust Invisible Digital Image Watermarking Using Hybrid Scheme

  • Research Article - Computer Engineering and Computer Science
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Abstract

Digital image watermarking is a technique to protect copyright of the image owner in the world of digital communication, and robustness is the major property to be addressed effectively. We propose an invisible hybrid watermarking scheme which is composed of blind and non-blind watermarking techniques. First, blind scheme is used as inner watermarking scheme and then non-blind watermarking scheme as outer watermarking scheme. A secret binary image is taken as a watermark and is embedded in an inner cover image using discrete wavelet transformation (DWT) with the help of the blind watermarking scheme in association with predefined binary digit sequence block and gain factor \({\varvec{\upalpha }}\) to get inner watermarked image. Then, this inner watermarked image is embedded into an outer cover image using DWT and singular value decomposition by non-blind watermarking technique to get hybrid watermarked image. On the contrary, to extract the secret binary image, first non-blind watermark extraction and then blind watermark extraction techniques are used. From the experimental results, it is shown that this hybrid watermarking approach is robust against—rotation, JPEG compression, salt and pepper noise, Gaussian noise, speckle noise and Poisson noise.

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References

  1. Abuturab, M.R.: Multiple color-image fusion and watermarking based on optical interference and wavelet transform. Opt. Lasers Eng. 89, 47–58 (2017)

    Article  Google Scholar 

  2. Jeronymo, D.C.; Borges, Y.C.C.; dos Santos Coelho, L.: Image forgery detection by semi-automatic wavelet soft-thresholding with error level analysis. Expert Syst. Appl. 85, 348–356 (2017)

    Article  Google Scholar 

  3. Etemad, E.; Samavi, S.; Soroushmehr, S.M.R.; Karimi, N.; Etemad, M.; Shirani, S.; Najarian, K.: Robust image watermarking scheme using bit-plane of hadamard coefficients. Multimed. Tools Appl. 77(2), 2033–2055 (2017)

    Article  Google Scholar 

  4. Savakar, D.G.; Ghuli, A.: Non-blind digital watermarking with enhanced image embedding capacity using DMeyer wavelet decomposition, SVD and DFT. Pattern Recognit. Image Anal. 27(3), 511–517 (2017)

    Article  Google Scholar 

  5. Ananthaneni, V.; Nelakuditi, U.R.: Hybrid digital image watermarking using contourlet transform (CT), DCT and SVD. Int. J. Image Process. (IJIP) 11(3), 85–93 (2017)

    Google Scholar 

  6. Bansal, N.; Deolia, V.K.; Bansal, A.; Pathak, P.: Comparative analysis of digital watermarking techniques. In: Proceedings of the International Congress on Information and Communication Technology, pp. 105–115. Springer, Singapore (2016)

  7. Zear, A.; Singh, A.K.; Kumar, P.: A proposed secure multiple watermarking technique based on DWT, DCT and SVD for application in medicine. Multimed. Tools Appl. 77(4), 4863–4882 (2016)

    Article  Google Scholar 

  8. Kazemivash, B.; Moghaddam, M.E.: A robust digital image watermarking technique using lifting wavelet transform and firefly algorithm. Multimed. Tools Appl. 76(20), 20499–20524 (2016)

    Article  Google Scholar 

  9. Tang, Z.; Lao, H.; Zhang, X.; Liu, K.: Robust image hashing via DCT and LLE. Comput. Secur. 62, 133–148 (2016)

    Article  Google Scholar 

  10. Pan-Pan, N.; Xiang-Yang, W.; Yu-Nan, L.; Hong-Ying, Y.: A robust color image watermarking using local invariant significant bitplane histogram. Multimed. Tools Appl. 76(3), 3403–3433 (2016)

    Article  Google Scholar 

  11. Coronel, S.L.G.; Ramírez, B.E.; Mosqueda, M.A.A.: Robust watermark technique using masking and Hermite transform. SpringerPlus 5(1), 1830 (2016)

    Article  Google Scholar 

  12. Benrhouma, O.; Hermassi, H.; Belghith, S.: Security analysis and improvement of an active watermarking system for image tampering detection using a self-recovery scheme. Multimed. Tools Appl. 76(20), 21133–21156 (2016)

    Article  Google Scholar 

  13. Albalawi, U.; Mohanty, S.P.; Kougianos, E.: A new region aware invisible robust blind watermarking approach. Multimed. Tools Appl. 76(20), 21303–21337 (2016)

    Article  Google Scholar 

  14. Huynh-The, T.; Banos, O.; Lee, S.; Yoon, Y.; Le-Tien, T.: Improving digital image watermarking by means of optimal channel selection. Expert Syst. Appl. 62, 177–189 (2016)

    Article  Google Scholar 

  15. Hu, H.T.; Chang, J.R.; Hsu, L.Y.: Robust blind image watermarking by modulating the mean of partly sign-altered DCT coefficients guided by human visual perception. AEU-Int. J. Electron. Commun. 70(10), 1374–1381 (2016)

    Article  Google Scholar 

  16. Andalibi, M.; Chandler, D.M.: Digital image watermarking via adaptive logo texturization. IEEE Trans. Image Process. 24(12), 5060–5073 (2015)

    Article  MATH  Google Scholar 

  17. Narula, N.; Sethi, D.; Bhattacharya, P.P.: Comparative analysis of DWT and DWT–SVD watermarking techniques in RGB images. Int. J. Signal Process. Image Process. Pattern Recognit. IJSIP 8(4), 339–348 (2015)

    Google Scholar 

  18. Huang, H.; Chen, D.; Lin, C.; Chen, S.; Hsu, W.: Improving SVD-based image watermarking via block-by-block optimization on singular values. EURASIP J. Image Video Process. 2015(1), 1–10 (2015)

    Article  Google Scholar 

  19. Islam, M.S.; Chong, U.: Performance of a hybrid DCT SVD visually imperceptible digital watermarking against signal processing attacks. Comput. Sci. Appl. Lect. Notes Electr. Eng. 330, 7–14 (2015)

    Article  Google Scholar 

  20. Ding, X.; Lu, Z.; Yu, F.; Nie, T.; Sun, J.: A robust blind image watermarking scheme based on classified vector quantization. J. Inf. Hiding Multimed. Signal Process. 6(1), 74–80 (2015)

    Google Scholar 

  21. Loukhaoukha, K.; Refaey, A.; Zebbiche, K.; Nabti, M.: On the security of robust image watermarking algorithm based on discrete wavelet transform, discrete cosine transform and singular value decomposition. Appl. Math. Inf. 9(3), 1159–1166 (2015)

    Google Scholar 

  22. Sha, F.; Lo, F.; Chung, Y.Y.; Chen, X.; Yeh, W.: A novel optimized watermark embedding scheme for digital images. In: MultiMedia Modeling Lecture Notes in Computer Science, pp. 208–219 (2015)

  23. Agarwal, H.; Atrey, P.K.; Raman, B.: Image watermarking in real oriented wavelet transform domain. Multimed. Tools Appl. 74(23), 10883–10921 (2014)

    Article  Google Scholar 

  24. Liu, Y.; Wang, Y.; Zhu, X.: Novel robust multiple watermarking against regional attacks of digital images. Multimed. Tools Appl. 74(13), 4765–4787 (2014)

    Article  Google Scholar 

  25. Singh, A.K.; Kumar, B.; Dave, M.; Mohan, A.: Robust and imperceptible dual watermarking for telemedicine applications. Wirel. Pers. Commun. 80(4), 1415–1433 (2014)

    Article  Google Scholar 

  26. Al-Haj, A.: Combined DWT–DCT digital image watermarking. J. Comput. Sci. 3(9), 740–746 (2007)

    Article  Google Scholar 

  27. Savakar, D.G.; Kannur, A.: A practical aspect of identification and classifying of Guns based on gunshot wound patterns using gene expression programming. Pattern Recognit. Image Anal. 26(2), 442–449 (2016)

    Article  Google Scholar 

  28. Ansari, A.; Hong, S.; Saavedra, G.; Javidi, B.; Martinez-Corral, M.: Ownership protection of plenoptic images by robust and reversible watermarking. Opt. Lasers Eng. 107, 325–334 (2018)

    Article  Google Scholar 

  29. Bal, S.N.; Nayak, M.R.; Sarkar, S.K.: On the implementation of a secured watermarking mechanism based on cryptography and bit pairs matching. J. King Saudi Univ. Comput. Inf. Sci. (2018). https://doi.org/10.1016/j.jksuci.2018.04.006

  30. Zhou, X.; Cao, C.; Ma, J.; Wang, L.: Adaptive digital watermarking scheme based on support vector machines and optimized genetic algorithm. Math. Probl. Eng. 2018 (2018). https://doi.org/10.1155/2018/2685739

  31. Escalante-Ramírez, B.; Gomez-Coronel, S.L.: A perceptive approach to digital image watermarking using a brightness model and the hermite transform. Math. Probl. Eng. 2018 (2018). https://doi.org/10.1155/2018/5463632

  32. Hore, A.; Ziou, D.: Image quality metrics: PSNR vs. SSIM. In: 2010 20th International Conference on Pattern Recognition, Istanbul, pp. 2366–2369 (2010) https://doi.org/10.1109/ICPR.2010.579

  33. Cox, I.J.; Miller, M.L.; Bloom, J.A.; Fridrich, J.; Kalker, T.: Digital Watermarking and Steganography, vol. 2. Morgan Kaufmann Publishers, Burlington (2008)

    Google Scholar 

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Correspondence to Anand Ghuli.

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Savakar, D.G., Ghuli, A. Robust Invisible Digital Image Watermarking Using Hybrid Scheme. Arab J Sci Eng 44, 3995–4008 (2019). https://doi.org/10.1007/s13369-019-03751-8

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  • DOI: https://doi.org/10.1007/s13369-019-03751-8

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