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A robust zero-watermarking algorithm for color image based on tensor mode expansion

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Abstract

Digital zero-watermarking technology is an effective measure to protect image copyright, and many algorithms have been proposed based on zero-watermark. However, most of the existing zero-watermarking algorithms are designed for grayscale images. In this paper, a new zero-watermarking algorithm for color image based on tensor mode expansion is proposed. In the proposed scheme, four images of R, G, B, and gray are firstly generated from the original image. Then, the four images are appropriately combined to construct two three-dimensional tensors, and tensor expansion is performed on the obtained tensors. By performing singular value decomposition (SVD) and discrete cosine transform (DCT) on the expanded data, a feature image containing the main information of the host image can be generated. Finally, the feature image is fused with the specified logo image to obtain a zero-watermark image. Experimental results show that the proposed algorithm is robust to noise attacks and common image processing attacks, and better performances compared with some existing algorithms are also achieved. In addition, since the proposed algorithm is based on color images, it can make full use of all aspects of color images.

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References

  1. Potdar VM, Han S, Chang E (2005) A survey of digital image watermarking techniques. https://doi.org/10.1109/INDIN.2005.1560462

  2. Tao H, Chongmin L, Zain JM, Abdalla AN (2014) Robust image watermarking theories and techniques: a review. J Appl Res Technol 12(1):122–138. https://doi.org/10.1016/s1665-6423(14)71612-8

    Article  Google Scholar 

  3. Wang CP, Wang XY, Xia ZQ (2016) Geometrically invariant image watermarking based on fast radial harmonic fourier moments. Signal Process Image Commun 45(C):10–23. https://doi.org/10.1016/j.image.2016.03.007

    Article  Google Scholar 

  4. Shao Z, Shang Y, Rui Z, Shu H, Coatrieux G, Wu J (2016) Robust watermarking scheme for color image based on quaternion-type moment invariants and visual cryptography. Signal Process Image Commun 48:12–21. https://doi.org/10.1016/j.image.2016.09.001

    Article  Google Scholar 

  5. Moosazadeh M, Ekbatanifard G (2017) An improved robust image watermarking method using dct and ycocg-r color space. Optik Int J Light Electron Opt 140:975–988. https://doi.org/10.1016/j.ijleo.2017.05.011

    Article  Google Scholar 

  6. Singh SP, Bhatnagar G (2018) A new robust watermarking system in integer dct domain. J Vis Commun Image Represent 53:86–101. https://doi.org/10.1016/j.jvcir.2018.03.006

    Article  Google Scholar 

  7. Quan W, Tanfeng S, Shuxun W (2003) Concept and application of zero-watermark. Acta Electron Sin 31(2):214–216. https://doi.org/10.3321/j.issn:0372-2112.2003.02.015

    Article  Google Scholar 

  8. Leng XX, Xiao J, Li DY, Shen ZY (2013) Study on the digital image zero-watermarking technology. Adv Mater Res 5:765–767. https://doi.org/10.4028/www.scientific.net/AMR.765-767.1113

    Article  Google Scholar 

  9. Li Z, Peng C, Tian X, Xia S (2011) A novel zero-watermarking algorithm based on DWT and edge detection. Int Congr Image Signal Process. https://doi.org/10.1109/CISP.2011.6100325

  10. Han SC, Zhang ZN (2013) A novel zero-watermark algorithm based on LU decomposition in NSST domain. IEEE Int Conf Signal Process. https://doi.org/10.1109/ICoSP.2012.6491884

  11. Rao YR, Nagabhooshanam E (2015) A novel image zero-watermarking scheme based on DWT-BN-SVD. Int Conf Inf Commun Embed Syst. https://doi.org/10.1109/ICICES.2014.7034073

  12. Rani A, Bhullar AK, Dangwal D, Kumar S (2015) A zero-watermarking scheme using discrete wavelet transform. Procedia Comput Sci 70:603–609. https://doi.org/10.1016/j.procs.2015.10.046

    Article  Google Scholar 

  13. Qiang Z, Wang Y, Levine MD, Yuan X, Long W (2015) Multisensor video fusion based on higher order singular value decomposition. Inf Fusion 24(C):54–71. https://doi.org/10.1016/j.inffus.2014.09.008

    Article  Google Scholar 

  14. Luo X, Zhang Z, Zhang C, Wu X (2017) Multi-focus image fusion using hosvd and edge intensity. J Vis Commun Image Represent 45(C):46–61. https://doi.org/10.1016/j.jvcir.2017.02.006

    Article  Google Scholar 

  15. Ali M, Chang WA, Pant M (2014) A robust image watermarking technique using svd and differential evolution in dct domain. Optik Int J Light Electron Opt 125(1):428–434. https://doi.org/10.1016/j.ijleo.2013.06.082

    Article  Google Scholar 

  16. Bhatnagar G, Raman B (2009) A new robust reference watermarking scheme based on dwt-svd. Comput Stand Interfaces 31(5):1002–1013. https://doi.org/10.1016/j.csi.2008.09.031

    Article  Google Scholar 

  17. Goléa EH, Seghir R, Benzid R (2010) A bind RGB color image watermarking based on singular value decomposition. IEEE/ACS Int Conf Comput Syst Appl. https://doi.org/10.1109/AICCSA.2010.5586967

  18. Andrews HC, Patterson CL (1976) Singular value decompositions and digital image processing. IEEE Trans Acoust Speech Signal Process 24(1):26–53. https://doi.org/10.1109/TASSP.1976.1162766

    Article  Google Scholar 

  19. Zhi Z, Wang C, Xiao Z (2017) Image watermarking scheme based on Arnold transform and DWT-DCT-SVD. IEEE Int Conf Signal Proces. https://doi.org/10.1109/ICSP.2016.7877942

  20. Umaroh L, Sari CA, Astuti YP, Rachmawanto EH (2017) A robust image watermarking using hybrid DCT and SLT. Technol Inf Commun. https://doi.org/10.1109/ISEMANTIC.2016.7873857

  21. USC-SIPI Image Database, Volume 3: Miscellaneous. Available: http://sipi.usc.edu/database/database.php?volume=misc&image=13#top

  22. Wang CP, Wang XY, Xia ZQ, Zhang C, Chen X (2016) Geometrically resilient color image zero-watermarking algorithm based on quaternion exponent moments. J Vis Commun Image Represent 41:S1047320316302103. https://doi.org/10.1016/j.jvcir.2016.10.004

    Article  Google Scholar 

  23. Shen Z, Kintak U (2017) A novel image zero-watermarking scheme based on non-uniform rectangular. Int Conf Wavelet Anal Pattern Recogn. https://doi.org/10.1109/ICWAPR.2017.8076667

  24. Wang CP, Wang XY, Chen XJ, Zhang C (2016) Robust zero-watermarking algorithm based on polar complex exponential transform and logistic mapping. Multimed Tools Appl:1–22. https://doi.org/10.1007/s11042-016-4130-7

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Acknowledgements

The work was supported by the Program of Natural Science Fund of Tianjin, China (Grant NO. 16JCYBJC15700).

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Authors and Affiliations

  1. College of Software, Nankai University (Jinnan), Tianjin, 300350, China

    Feifeng Jiang & Tiegang Gao

  2. Department of Computer Science, Yanbian University, Yanji, 133000, China

    De Li

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  1. Feifeng Jiang
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  2. Tiegang Gao
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  3. De Li
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Correspondence to Tiegang Gao.

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Jiang, F., Gao, T. & Li, D. A robust zero-watermarking algorithm for color image based on tensor mode expansion. Multimed Tools Appl 79, 7599–7614 (2020). https://doi.org/10.1007/s11042-019-08459-3

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