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Hybrid technique for robust and imperceptible multiple watermarking using medical images

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Abstract

This paper presents a secure multiple watermarking method based on discrete wavelet transform (DWT), discrete cosine transforms (DCT) and singular value decomposition (SVD). For identity authentication purpose, the proposed method uses medical image as the image watermark, and the personal and medical record of the patient as the text watermark. In the embedding process, the cover medical image is decomposed up to second level of DWT coefficients. Low frequency band (LL) of the host medical image is transformed by DCT and SVD. The watermark medical image is also transformed by DCT and SVD. The singular value of watermark image is embedded in the singular value of the host image. Furthermore, the text watermark is embedding at the second level of the high frequency band (HH) of the host image. In order to enhance the security of the text watermark, encryption is applied to the ASCII representation of the text watermark before embedding. Results are obtained by varying the gain factor, size of the text watermark, and medical image modalities. Experimental results are provided to illustrate that the proposed method is able to withstand a variety of signal processing attacks such as JPEG, Gaussian, Salt-and-Pepper, Histogram equalization etc. The performance of the proposed technique is also evaluated by using the benchmark software Checkmark and the technique is found to be robust against the Checkmark attacks such as Collage, Trimmed Mean, Hard and Soft Thresholding, Wavelet Compression, Mid Point, Projective, and Wrap etc.

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References

  1. Awasthi M, Lodhi H (2013) Robust image watermarking based on discrete wavelet transform, discrete cosine transform & singular value decomposition. Adv Electr Electron Eng 3(8):971–976

    Google Scholar 

  2. Bowman D (2012) http://www.fiercehealthit.com/story/researchers-use-digital-watermarks-protect-medical-images

  3. Giakoumaki A, Pavlopoulos S, Koutsouris D (2006) Secure and efficient health data management through multiple watermarking on medical images. Med Biol Eng Comput 44:619–631

    Article  Google Scholar 

  4. Golshan F, Mohammadi K (2013) A hybrid intelligent SVD-based perceptual shaping of a digital image watermark in DCT and DWT domain. Imag Sci J 61(1):35–46

    Article  Google Scholar 

  5. Harish NJ, Kumar BBS, Kusagur A (2013) Hybrid robust watermarking techniques based on DWT, DCT, and SVD. Int J Adv Electr Electron Eng 2(5):137–143

    Google Scholar 

  6. Horng S-J, Farfoura ME, Fan P, Wang X, Li T, Guo J-M (2014) A low cost fragile watermarking scheme in H.264/AVC compressed domain. Multimed Tools Appl 72(3):2469–2495

    Article  Google Scholar 

  7. Kannamma A, Pavithra K, Subha Rani S (2012) Double watermarking of DICOM medical images using wavelet decomposition technique. Eur J Sci Res 70:46–55

    Google Scholar 

  8. Kelkar V, Shaikh H, Khan MI (2013) Analysis of robustness of hybrid digital image watermarking technique under various attacks. Int J Comput Sci Mob Comput 2(3):137–143

    Google Scholar 

  9. Khan MI, Rahman MM, Sarker MIH (2013) Digital watermarking for image authentication based on combined DCT, DWT, and SVD transformation. Int J Comput Sci Issues 10(5):223–230

    Google Scholar 

  10. Kumar B, Anand A, Singh SP, Mohan A (2011) High capacity spread-spectrum watermarking for telemedicine applications. World Acad Sci Eng Technol 5:62–66

    Google Scholar 

  11. Lai C-C, Tsai C-C (2014) Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE Trans Instrum Meas 59(11):3060–3063

    Article  Google Scholar 

  12. Lin W-H, Horng S-J, Kao T-W, Chen R-J, Chen Y-H, Lee C-L, Terano T (2009) Image copyright protection with forward error correction. Expert Syst Appl 36(9):11888–11894

    Article  Google Scholar 

  13. Lin W-H, Horng S-J, Kao T-W, Fan P, Lee C-L, Pan Y (2008) An efficient watermarking method based on significant difference of wavelet coefficient quantization. IEEE Trans Multimedia 10(5):746–757

    Article  Google Scholar 

  14. Lin W-H, Wang Y-R, Horng S-J, Kao T-W, Pan Y (2009) A blind watermarking method using maximum wavelet coefficient quantization. Expert Syst Appl 36(9):11509–11516

    Article  Google Scholar 

  15. Lin W-H, Wang Y-R, Horng S-J (2009) A wavelet-tree-based watermarking method using distance vector of binary cluster. Expert Syst Appl 36(6):9869–9878

    Article  Google Scholar 

  16. Madhesiya S, Ahmed S (2013) Advanced technique of digital watermarking based on SVD-DWT-DCT and Arnold transform. Int J Adv Res Comput Sci Eng Technol 2(5):1918–1923

    Google Scholar 

  17. MedPixTMMedical Image Database available at http://rad.usuhs.mil/medpix/medpix.html.

  18. Memon NA, Gilani SAM (2008) NROI watermarking of medical images for content authentication. Proceedings of 12th IEEE International Multitopic Conference, Karachi, Pakistan, p 106–110

  19. Mostafa SAK, El- Sheimy N, Tolba AS, Abdelkader FM, Elhindy HM (2010) Wavelet packets-based blind watermarking for medical image management. Open Biomed Eng J 4:93–98

    Article  Google Scholar 

  20. Navas KA, Cheriyan AM, Lekshmi M, Archana Tampy S, Sasikumar M (2008) DWT-DCT-SVD Based Watermarking, Third International conference on Communication Systems Software and Middleware and Workshops, COMSWARE, p 271–274

  21. Navas KA, Nithya S, Rakhi R, Sasikumar M (2007) Lossless watermarking in JPEG2000 for EPR data hiding. Proc. IEEE-EIT 2007, Chicago, USA, p 697–702

  22. Navas KA, Sasikumar M (2007) Survey of medical image watermarking algorithms, 4th International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, p 1–6, March 25–29, TUNISIA

  23. Nidhi HD, Jani NN (2012) Image watermarking algorithm using DCT, DWT and SVD. Int J Comput Appl 13–16

  24. Nisha, Kumar S (2013) Image quality assessment techniques. Int J Adv Res Comput Sci Softw Eng 3(7):636–640

    Google Scholar 

  25. Ollove M (2014) www.usatoday.com/story/…/stateline-identity-thefts-medical…/5279351

  26. Pal K, Ghosh G, Bhattacharya M (2012) Biomedical image watermarking in wavelet domain for data integrity using Bit majority algorithm and multiple copies of hidden information. Am J Biomed Eng 2:29–37

    Article  Google Scholar 

  27. Pereira S, Voloshynovskiy S, Madueño M, Marchand-Maillet S, Pun T (2001) Second generation benchmarking and application oriented evaluation. In: Information hiding workshop III, Pittsburgh, PA, USA, p 340–353

  28. Rosiyadi D, Horng S-J, Fan P, Wang X (2012) Copyright protection for e-government document images. IEEE MultiMedia 19(3):62–73

    Article  Google Scholar 

  29. Rosiyadi D, Horng S-J, Suryana N, Masthurah N (2012) A comparison between the hybrid using genetic algorithm and the pure hybrid watermarking scheme. Int J Comp Theory Eng (IJCTE) 4(3):329–331

    Article  Google Scholar 

  30. Shi-Jinn H, Rosiyadi D, Fan P, Wang X, Khan MK (2014) An adaptive watermarking scheme for e-government document images. Multimed Tools Appl 72(3):3085–3103

    Article  Google Scholar 

  31. Shi-Jinn H, 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 

  32. Singh AK, Dave M, Mohan A (2014) Hybrid technique for robust and imperceptible image watermarking in DWT- DCT-SVD domain. Natl Acad Sci Lett 37(4):351–358

    Article  Google Scholar 

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

    Article  Google Scholar 

  34. Singh A, Tayal A (2012) Choice of wavelet from wavelet families for DWT-DCT-SVD image watermarking. Int J Comput Appl 48(17):9–14

    Google Scholar 

  35. Soliman MM, Hassanien AE, Ghali NI, Onsi HM (2012) An adaptive watermarking approach for medical imaging using swarm intelligence. Int J Smart Home 6:37–50

    Google Scholar 

  36. Srivastava A, Saxena P (2013) DWT-DCT-SVD based semiblind image watermarking using middle frequency band. IOSR J Comput Eng 12(2):63–66

    Article  Google Scholar 

  37. Terzjia N, Repges M, Luck K, Geisselhardt W (2002) Digital image watermarking using discrete wavelet transform: performance comparison of error correction codes. International Association of Science and Technology for Development

  38. Umaamaheshvari A, Thanushkodi K (2012) High performance and effective watermarking scheme for medical images. Eur J Sci Res 67:283–293

    Google Scholar 

  39. Wang B, Ding J, Wen Q, Liao X, Liu C (2009) An Image Watermarking Algorithm based on DWT DCT and SVD, IEEE International Conference on Network Infrastructure and Digital Content, p 6–8

  40. Zain J, Clarke M (2005) Security in telemedicine: issue in watermarking medical images. International Conference: Science of Electronic, Technologies of Information and Telecommunications

  41. Zaz Y, El Fadil L (2010) Protecting EPR data using cryptography and digital watermarking, International Conference on Models of Information and Communication Systems, Rabat

  42. Zhang L, Zhou P-P (2010) Localized affine transform resistant watermarking in region-of-interest. Telecommun Syst 44:205–220

    Article  Google Scholar 

Download references

Acknowledgments

The Author’s are sincerely thankful to the potential/ anonymous reviewer’s for their critical comments and suggestions to improve the quality of the paper.

We are also thankful to Dr. V. K. Agarwal, MD (Med.), D.M. (Neuro.) G. B. Pant Hospital, New Delhi for their valuable comments to evaluate the quality of the watermarked image for the diagnosis purpose.

I am grateful to Prof. S P Ghrera, Head of the Department, Department of CSE, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh-India for their willingness to share their bright thoughts with me are very fruitful for shaping up my ideas and the quality of the paper.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India

    Amit Kumar Singh

  2. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Haryana, India

    Mayank Dave

  3. Department of Electronics Engineering, Indian Institute of Technology BHU, Varanasi, Uttar Pradesh, India

    Anand Mohan

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  1. Amit Kumar Singh
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  2. Mayank Dave
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  3. Anand Mohan
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Correspondence to Amit Kumar Singh.

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Singh, A.K., Dave, M. & Mohan, A. Hybrid technique for robust and imperceptible multiple watermarking using medical images. Multimed Tools Appl 75, 8381–8401 (2016). https://doi.org/10.1007/s11042-015-2754-7

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  • DOI: https://doi.org/10.1007/s11042-015-2754-7

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