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A Quantum Image Watermarking Scheme Based on Two-Bit Superposition

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Abstract

Quantum watermarking technology protects copyright by embedding an invisible quantum signal in quantum multimedia data. This paper proposes a two-bit superposition method which embeds a watermark image (or secret information) into a carrier image. Firstly, the bit-plane is used to encrypt the watermark image. At the same time, the quantum expansion method is used to extend the watermark image to the same size with the carrier image, and then the image is encrypted through the Fibonacci scramble method again. Secondly, the first proposed method is the two bits of the watermark image which is embedded into the carrier image in accordance with the order of the high and lowest qubit, and the second proposed method which is the high bit of the watermark image is embedded to the lowest bit. Then the lowest bit of the watermark image is embedded in carrier image. Third, the watermark image is extracted through 1-CNOT and swap gates, and the watermark image is restored by inverse Fibonacci scramble, inverse expansion method and inverse bit-plane scramble method. Finally, for the validation of the proposed scheme, the signal-to-noise ratio (PSNR), the image histogram and the robustness of the two watermarking methods are analyzed.

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References

  1. N, X., Zhu, J., D, L., et al.: Quantum factorization of 143 on a dipolar-coupling nuclear magnetic resonance system. Phys. Rev. Lett. 108(13), 130501 (2012)

    Article  Google Scholar 

  2. Van d, S.T., Wang, Z.H., Blok, M.S., et al.: Decoherence-protected quantum gates for a hybrid solid-state spin register. Nature. 484(7392), 82–86 (2012)

    Article  ADS  Google Scholar 

  3. Pla, J.J., Tan, K.Y., Dehollain, J.P., Lim, W.H., Morton, J.J.L., Jamieson, D.N., Dzurak, A.S., Morello, A.: A single-atom electron spin qubit in silicon. Nature. 489(7417), 541–545 (2012)

    Article  ADS  Google Scholar 

  4. Fijany, A., Williams, C.P.: Quantum wavelet transforms: fast algorithms and complete circuits. Lect. Notes Comput. Sci. 1509, 10–33 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  5. Tseng C C., Hwang T M.: Quantum circuit design of 8×8 discrete cosine transform using its fast computation flow graph// IEEE International Symposium on Circuits and Systems. IEEE. 1, 828-831(2005)

  6. Zhang, Y., Lu, K., Gao, Y., Xu, K.: A novel quantum representation for log-polar images. Quantum Inf. Process. 12(9), 3103–3126 (2013)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  7. Sang, J., Wang, S., Li, Q.: A novel quantum representation of color digital images. Quantum Inf. Process. 16(2), 16–42 (2017)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  8. Yang, Y.G., Jia, X., Xu, P., et al.: Analysis and improvement of the watermark strategy for quantum images based on quantum Fourier transform. Quantum Inf. Process. 12(2), 793–803 (2013)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  9. Song, X.H., Wang, S., Liu, S., Abd el-Latif, A.A., Niu, X.M.: A dynamic watermarking scheme for quantum images using quantum wavelet transform. Quantum Inf. Process. 12(12), 3689–3706 (2013)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  10. Song, X., Wang, S., El-Latif, A.A.A., et al.: Dynamic watermarking scheme for quantum images based on Hadamard transform. Multimedia Systems. 22(2), 273–274 (2016)

    Article  Google Scholar 

  11. Jiang, N., Zhao, N., Wang, L.: LSB based quantum image steganography algorithm. Int. J. Theor. Phys. 55(1), 107–123 (2016)

    Article  MATH  Google Scholar 

  12. Miyake, S., Nakamae, K.: A quantum watermarking scheme using simple and small-scale quantum circuits. Quantum Inf Process. 15(5), 1849–1864 (2016)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  13. Sang, J., Wang, S., Li, Q.: Least significant qubit algorithm for quantum images. Quantum Inf. Process. 15(11), 4441–4460 (2016)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  14. Zhou, R.G., Zhou, Y., Zhu, C., Wei, L., Zhang, X., Ian, H.: Quantum watermarking scheme based on INEQR. Int. J. Theor. Phys. 57(4), 1120–1131 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  15. Yuan, S., Mao, X., Zhou, J., Wang, X.: Quantum image filtering in the spatial domain. Int. J. Theor. Phys. 56(8), 2495–2511 (2017)

    Article  MATH  Google Scholar 

  16. Li, P., Xiao, H.: An improved filtering method for quantum color image in frequency domain. Int. J. Theor. Phys. 57(1), 258–278 (2018)

    Article  MATH  Google Scholar 

  17. Mastriani, M.: Quantum Boolean image denoising. Quantum Inf. Process. 14(5), 1647–1673 (2015)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  18. Hua, T., Chen, J., Pei, D., Zhang, W., Zhou, N.: Quantum image encryption algorithm based on image correlation decomposition. Int. J. Theor. Phys. 54(2), 526–537 (2015)

    Article  MATH  Google Scholar 

  19. Song, X.H., Wang, S., El-Latif, A.A.A., et al.: Quantum image encryption based on restricted geometric and color transformations. Quantum Inf. Process. 13(8), 1765–1787 (2014)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  20. Zhou, N., Hu, Y., Gong, L., et al.: Quantum image encryption scheme with iterative generalized Arnold transforms and quantum image cycle shift operations. Quantum Inf. Process. 16(6), 1–23 (2017)

    ADS  MathSciNet  MATH  Google Scholar 

  21. Zhang, Y., Lu, K., Gao, Y., Wang, M.: A novel enhanced quantum representation of digital images. Quantum Inf. Process. 12(8), 2833–2860 (2013)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  22. Ping, F., Zhou, R.-G., Jing, N., Li, H.-S.: Geometric transformations of multidimensional color images based on NASS. Inf Sci. 340–341 (2016)

  23. Jiang, N., Wang, L.: Analysis and improvement of the quantum Arnold image scrambling. Quantum Inf. Process. 13(7), 1545–1551 (2014)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  24. Ri-gui, Z., Ya Juan, S., Fan, P.: Quantum image gray-code and bit-plane scrambling. Quantum Inf Process. 14(5), 1717–1734 (2015)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  25. Ri-Gui, Z., Wenwen, H., Ping, F.: Quantum watermarking scheme through Arnold scrambling and LSB steganography. Quantum Inf. Process. 16(9), 212–233 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  26. Jianzhi, S., Shen, W., Qiong, L.: Least significant qubit algorithm for quantum images. Quantum Inf. Process. 15(11), 4441–4460 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  27. Caraiman, S., Vasile, M.: Histogram-based segmentationof quantum image. Theor. Comput. Sci. 529, 46–60 (2014)

    Article  MATH  Google Scholar 

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant No. 61463016, “Science and technology innovation action plan” of Shanghai in 2017 under Grant No. 17510740300, and the advantages of scientific and technological innovation team of Nanchang City under Grant No. 2015CXTD003;

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Correspondence to Ri-Gui Zhou.

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Yang Zhou and Ri-Gui Zhou are co-first authors.

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Zhou, Y., Zhou, RG., Liu, X. et al. A Quantum Image Watermarking Scheme Based on Two-Bit Superposition. Int J Theor Phys 58, 950–968 (2019). https://doi.org/10.1007/s10773-018-3987-9

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  • DOI: https://doi.org/10.1007/s10773-018-3987-9

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