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Multimedia Tools and Applications

, Volume 78, Issue 14, pp 20133–20155 | Cite as

A novel robust color image watermarking method using RGB correlations

  • Fangyan Zhang
  • Ting LuoEmail author
  • Gangyi Jiang
  • Mei Yu
  • Haiyong Xu
  • Wujie Zhou
Article
  • 82 Downloads

Abstract

In order to protect the copyright of the color image, a novel robust color image watermarking method using correlations of RGB channels is presented. RGB three channels of the color image have much strong correlations, which are stable under various image attacks, and thus these correlations can be mined to embed watermark for robustness. In order to keep RGB correlations and chrominance perception, the color image is considered as the third-order tensor, and tucker decomposition is employed to operate on the color image. At first, Tucker decomposition is used to generate the first feature image, which includes the most of image energies and correlations between three channels. Then, the first feature image is divided into non-overlap blocks, and the singular value decomposition (SVD) is used to decompose the block to compute the left-singular matrix. Finally, the stable coefficients relationship of the left-singular matrix is modified to embed watermark for obtaining the robustness. Experimental results show that the proposed method outperforms other existing color image watermarking methods, which can resist JPEG compression, salt & pepper noise, median filtering, scaling, blurring, low-pass filtering, and so on attacks.

Keywords

Watermarking Tucker decomposition Tensor Singular value decomposition 

Notes

Acknowledgements

This work was supported by Natural Science Foundation of China under Grant No. 61501270, 61671258, 61871247, Zhejiang Provincial Natural Science Foundation of China under Grant No.LY19F020009, National High-tech R&D Program of China under Grant No. 2015AA015901. It was also sponsored by the K. C. Wong Magna Fund in Ningbo University.

References

  1. 1.
    Abdallah EE, Hamza AB, Bhattacharya P (2010) Video watermarking using wavelet transform and tensor algebra. SIViP 4(2):233–245zbMATHGoogle Scholar
  2. 2.
    Agilandeeswari L, Ganesan K (2018) RST invariant robust video watermarking algorithm using quaternion curvelet transform. Multimed Tools Appl 77(19):25431–25474Google Scholar
  3. 3.
    Barni M, Bartolini F, Piva A (2001) Improved wavelet-based watermarking through pixel-wise masking. IEEE Trans Image Process 10(5):783–791zbMATHGoogle Scholar
  4. 4.
    Belferdi W, Behloul A, Lemnouar N (2018) A Bayer pattern-based fragile watermarking scheme for color image tamper detection and restoration. Multidim Syst Sign Process:1–20Google Scholar
  5. 5.
    Chou CH, Wu TL (2003) Embedding color watermarks in color images. EURASIP J Adv Sig Process 1:1–9Google Scholar
  6. 6.
    Dragoi IC, Coltuc D (2016) Adaptive pairing reversible watermarking. IEEE Trans Image Process 25(5):2420–2422MathSciNetzbMATHGoogle Scholar
  7. 7.
    Fang H, Zhou Q, Li K (2013) Robust watermarking scheme for multispectral images using discrete wavelet transform and Tucker decomposition. J Comput 08(11):2844–2850Google Scholar
  8. 8.
    Feng B, Lu W, Sun W, Huang J, Shi YQ (2016) Robust image watermarking based on tucker decomposition and adaptive-lattice quantization index modulation. Signal Process Image Commun 41:1–14Google Scholar
  9. 9.
    Golea EH, Seghir R, Benzid R (2010) A bind RGB color image watermarking based on singular value decomposition. ICCSA 2010:1–5Google Scholar
  10. 10.
    Huang JW, Shi YQ, Shi Y (2000) Embedding image watermarks in DC components. IEEE Trans Circ Syst Vid 10(6):974–979Google Scholar
  11. 11.
    Huang DR, Liu JF, Huang JW, Liu HM (2001) A DWT-based image watermarking algorithm. Multimedia and Expo. ICME 2001. IEEE International Conference on. IEEE, p 313–316Google Scholar
  12. 12.
    Jia SL (2014) A novel blind color images watermarking based on SVD. Optik 125(12):2868–2874Google Scholar
  13. 13.
    Li J, Li X, Yang B (2013) Reversible data hiding scheme for color image based on prediction-error expansion and cross-channel correlation. Signal Process 93(9):2748–2758Google Scholar
  14. 14.
    Li J, Li XL, Yang B, Sun XM (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Foren Sec 10(3):507–518Google Scholar
  15. 15.
    Li XT, Ng MK, Cong G, Ye YM, Wu QY (2017) MR-NTD: manifold regularization nonnegative Tucker decomposition for tensor data dimension reduction and representation. IEEE Trans Neur Net Lear 28(8):1787–1800MathSciNetGoogle Scholar
  16. 16.
    Liu XL, Lin CC, Yuan SM (2018) Blind dual watermarking for color images’ authentication and copyright protection. IEEE Trans Circ Syst Vid 28(5):1047–1055Google Scholar
  17. 17.
    Luo T, Jiang GY, Yu M, Shao F, Peng ZJ, Ho YS (2014) Stereo matching based stereo image watermarking for tamper detection and recovery. Int J Comput Int Sys 7(5):874–881Google Scholar
  18. 18.
    Luo T, Jiang GY, Yu M, Xu HY (2016) Asymmetric self-recovery oriented stereo image watermarking method for three dimensional video system. Multimedia Systems 22(5):641–655Google Scholar
  19. 19.
    Luo T, Jiang G, Yu M, Xu H, Gao W (2018) Sparse recovery based reversible data hiding method using the human visual system. Multimed Tools Appl 77:19027–19050Google Scholar
  20. 20.
    Makbol NM, Khoo BE, Rassem TH (2016) Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics. IET Image Process 10(1):34–52Google Scholar
  21. 21.
    Mishra A, Agarwal C, Sharma A, Bedi P (2014) Optimized gray-scale image watermarking using DWT–SVD and firefly algorithm. Expert Syst Appl 41(17):7858–7867Google Scholar
  22. 22.
    Muhammad I, Bruce AH (2017) Block based blind & secure gray image watermarking technique based on discrete wavelet transform and singular value decomposition. KSII Trans Iinternet Inf 11(2):883–900Google Scholar
  23. 23.
    Muhammad K, Ahmad J, Rehman NU, Jan Z, Sajjad M (2017) CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method. Multimed Tools Appl 76(6):8597–8626Google Scholar
  24. 24.
    Ou B, Li X, Zhao Y (2015) Efficient color image reversible data hiding based on channel-dependent payload partition and adaptive embedding. Signal Process 108:642–657Google Scholar
  25. 25.
    Parah SA, Sheikh JA, Akhoon JA, Loan NA, Bhat GM (2018) Information hiding in edges: a high capacity information hiding technique using hybrid edge detection. Multimed Tools Appl 77(1):185–207Google Scholar
  26. 26.
    Renard N, Bourennane S (2009) Dimensionality reduction based on tensor modeling for classification methods. IEEE Trans Geosci Remote Sens 47(4):1123–1131Google Scholar
  27. 27.
    Roy S, Pal AK (2017) A blind DCT based color watermarking algorithm for embedding multiple watermarks. AEU Int J Electron Commun 72:149–161Google Scholar
  28. 28.
    Roy S, Pal AK (2017) A robust blind hybrid image watermarking scheme in RDWT-DCT domain using Arnold scrambling. Multimed Tools Appl 76(3):3577–3616Google Scholar
  29. 29.
    Singh AK, Dave M, Mohan A (2016) Hybrid technique for robust and imperceptible multiple watermarking using medical images. Multimed Tools Appl 75(14):8381–8401Google Scholar
  30. 30.
    Su QT, Chen B (2018) Robust color image watermarking technique in the spatial domain. Soft Comput 22(1):91–106MathSciNetGoogle Scholar
  31. 31.
    Su QT, Niu YG, Liu XX, Zhu Y (2012) Embedding color watermarks in color images based on Schur decomposition. Opt Commun 285(7):1792–1802Google Scholar
  32. 32.
    Su QT, Niu YG, Zou HL, Zhao YS, Yao T (2014) A blind double color image watermarking algorithm based on QR decomposition. Multimed Tools Appl 72(1):987–1009Google Scholar
  33. 33.
    Sun QD, Wang LD, Shao YF, Zuo JC (2016) Watermarking technique based on three-coefficient comparison in DCT domain. J Supercomput 72(7):2594–2608Google Scholar
  34. 34.
    Tuncer T, Avci E (2016) A reversible data hiding algorithm based on probabilistic DNA-XOR secret sharing scheme for color images. Displays 41:1–8Google Scholar
  35. 35.
    Vahedi E, Zoroofi RA, Shiva M (2012) Toward a new wavelet-based watermarking approach for color images using bio-inspired optimization principles. Digital Signal Process 22(1):153–162Google Scholar
  36. 36.
    Wang XY, Wang CP, Yang HY, Niu PP (2013) A robust blind color image watermarking in quaternion Fourier transform domain. J Syst Softw 86(2):255–277Google Scholar
  37. 37.
    Yan B, Liu XF, Yang HM (2016) Structure compliant local warping of images with applications to watermarking attack. Multimed Tools Appl 75(21):13451–13479Google Scholar
  38. 38.
    Zhang J, Han Y, Jiang J (2016) Tucker decomposition-based tensor learning for human action recognition. Multimedia Systems 22(3):343–353Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Fangyan Zhang
    • 1
    • 2
  • Ting Luo
    • 1
    Email author
  • Gangyi Jiang
    • 2
  • Mei Yu
    • 2
  • Haiyong Xu
    • 1
    • 2
  • Wujie Zhou
    • 3
  1. 1.College of Science and TechnologyNingbo UniversityNingboChina
  2. 2.Faculty of Information Science and EngineeringNingbo UniversityNingboChina
  3. 3.School of Information and Electronic EngineeringZhejiang University of Science and TechnologyHangzhouChina

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