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A novel robust color image watermarking method using RGB correlations

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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.

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References

  1. Abdallah EE, Hamza AB, Bhattacharya P (2010) Video watermarking using wavelet transform and tensor algebra. SIViP 4(2):233–245

    Article  MATH  Google Scholar 

  2. Agilandeeswari L, Ganesan K (2018) RST invariant robust video watermarking algorithm using quaternion curvelet transform. Multimed Tools Appl 77(19):25431–25474

    Article  Google Scholar 

  3. Barni M, Bartolini F, Piva A (2001) Improved wavelet-based watermarking through pixel-wise masking. IEEE Trans Image Process 10(5):783–791

    Article  MATH  Google Scholar 

  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:1–20

  5. Chou CH, Wu TL (2003) Embedding color watermarks in color images. EURASIP J Adv Sig Process 1:1–9

    Google Scholar 

  6. Dragoi IC, Coltuc D (2016) Adaptive pairing reversible watermarking. IEEE Trans Image Process 25(5):2420–2422

    Article  MathSciNet  MATH  Google Scholar 

  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):2844–2850

    Article  Google Scholar 

  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 41:1–14

    Article  Google Scholar 

  9. Golea EH, Seghir R, Benzid R (2010) A bind RGB color image watermarking based on singular value decomposition. ICCSA 2010:1–5

    Google Scholar 

  10. Huang JW, Shi YQ, Shi Y (2000) Embedding image watermarks in DC components. IEEE Trans Circ Syst Vid 10(6):974–979

    Article  Google Scholar 

  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 313–316

  12. Jia SL (2014) A novel blind color images watermarking based on SVD. Optik 125(12):2868–2874

    Article  Google Scholar 

  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):2748–2758

    Article  Google Scholar 

  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):507–518

    Article  Google Scholar 

  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):1787–1800

    Article  MathSciNet  Google Scholar 

  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):1047–1055

    Article  Google Scholar 

  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):874–881

    Article  Google Scholar 

  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):641–655

    Article  Google Scholar 

  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 77:19027–19050

    Article  Google Scholar 

  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):34–52

    Article  Google Scholar 

  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):7858–7867

    Article  Google Scholar 

  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):883–900

    Google Scholar 

  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):8597–8626

    Article  Google Scholar 

  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 108:642–657

    Article  Google Scholar 

  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):185–207

    Article  Google Scholar 

  26. Renard N, Bourennane S (2009) Dimensionality reduction based on tensor modeling for classification methods. IEEE Trans Geosci Remote Sens 47(4):1123–1131

    Article  Google Scholar 

  27. Roy S, Pal AK (2017) A blind DCT based color watermarking algorithm for embedding multiple watermarks. AEU Int J Electron Commun 72:149–161

    Article  Google Scholar 

  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):3577–3616

    Article  Google Scholar 

  29. Singh AK, Dave M, Mohan A (2016) Hybrid technique for robust and imperceptible multiple watermarking using medical images. Multimed Tools Appl 75(14):8381–8401

    Article  Google Scholar 

  30. Su QT, Chen B (2018) Robust color image watermarking technique in the spatial domain. Soft Comput 22(1):91–106

    Article  MathSciNet  Google Scholar 

  31. Su QT, Niu YG, Liu XX, Zhu Y (2012) Embedding color watermarks in color images based on Schur decomposition. Opt Commun 285(7):1792–1802

    Article  Google Scholar 

  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):987–1009

    Article  Google Scholar 

  33. Sun QD, Wang LD, Shao YF, Zuo JC (2016) Watermarking technique based on three-coefficient comparison in DCT domain. J Supercomput 72(7):2594–2608

    Article  Google Scholar 

  34. Tuncer T, Avci E (2016) A reversible data hiding algorithm based on probabilistic DNA-XOR secret sharing scheme for color images. Displays 41:1–8

    Article  Google Scholar 

  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):153–162

    Article  Google Scholar 

  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):255–277

    Article  Google Scholar 

  37. Yan B, Liu XF, Yang HM (2016) Structure compliant local warping of images with applications to watermarking attack. Multimed Tools Appl 75(21):13451–13479

    Article  Google Scholar 

  38. Zhang J, Han Y, Jiang J (2016) Tucker decomposition-based tensor learning for human action recognition. Multimedia Systems 22(3):343–353

    Article  Google Scholar 

Download references

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.

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Correspondence to Ting Luo.

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Zhang, F., Luo, T., Jiang, G. et al. A novel robust color image watermarking method using RGB correlations. Multimed Tools Appl 78, 20133–20155 (2019). https://doi.org/10.1007/s11042-019-7326-9

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