Skip to main content
Log in

Quantum Multi-Image Encryption Based on Iteration Arnold Transform with Parameters and Image Correlation Decomposition

  • Published:
International Journal of Theoretical Physics Aims and scope Submit manuscript

Abstract

A novel quantum multi-image encryption algorithm based on iteration Arnold transform with parameters and image correlation decomposition is proposed, and a quantum realization of the iteration Arnold transform with parameters is designed. The corresponding low frequency images are obtained by performing 2-D discrete wavelet transform on each image respectively, and then the corresponding low frequency images are spliced randomly to one image. The new image is scrambled by the iteration Arnold transform with parameters, and the gray-level information of the scrambled image is encoded by quantum image correlation decomposition. For the encryption algorithm, the keys are iterative times, added parameters, classical binary and orthonormal basis states. The key space, the security and the computational complexity are analyzed, and all of the analyses show that the proposed encryption algorithm could encrypt multiple images simultaneously with lower computational complexity compared with its classical counterparts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Nielsen, M.A., Chuang, I.L. Piazzesi M Handbook of Financial Econometrics Elsevier: Quantum computation and quantum information, vol. 10, p. 49. Cambridge University Press (2010)

  2. Venegas-Andraca, S.E., Ball, J.L.: Processing images in entangled quantum systems. Quantum Inf. Process. 9(1), 1–11 (2010)

    Article  MathSciNet  Google Scholar 

  3. Le, P.Q., Dong, F.Y., Hirota, K.: A flexible representation of quantum images for polynomial preparation, image compression, and processing operations. Quantum Inf. Process. 10(1), 63–84 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  4. Sun, B., Le, P.Q., Iliyasu, A.M., Yan, F., Garcia, J.A., Dong, F., Hirota, K.: A multi-channel representation for images on quantum computers using the RGB α color space. In: 2011 IEEE 7th International Symposium on Floriana, Intelligent Signal Processing (WISP), pp. 62–67 (2011)

    Google Scholar 

  5. Le, P.Q., Iliyasu, A.M., Garcia, J.A., Dong, F., Hirota, K.: Representing visual complexity of images using a 3d feature space based on structure, noise, and diversity. JACIII 16(5), 631–640 (2012)

    Article  Google Scholar 

  6. Zhang, Y., Lu, K., Gao, Y., Xu, K.: A novel quantum representation for log-polar images. Quantum Inf. Process. 12(9), 3101–3126 (2013)

    ADS  MathSciNet  MATH  Google Scholar 

  7. Yuan, S., Mao, X., Xue, Y., Chen, L., Xiong, Q., Compare, A.: SQR: A simple quantum representation of infrared images. Quantum Inf. Process. 13(6), 1–27 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  8. Le, P.Q., Iliyasu, A.M., Dong, F.Y., Hirota, K.: Fast geometric transformations on quantum images. IAENG Int. J. Appl. Math. 40(3), 113–123 (2010)

    MathSciNet  MATH  Google Scholar 

  9. Le, P.Q., Iliyasu, A.M., Dong, F.Y., Hirota, K.: Strategies for designing geometric transformations on quantum images. Theor. Comput. Sci. 412(15), 1406–1418 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  10. Iliyasu, A.M., Le, P.Q., Dong, F.Y., Hirota, K.: Watermarking and authentication of quantum images based on restricted geometric transformations. Inf. Sci. 186(1), 126–149 (2012)

    Article  MathSciNet  MATH  Google Scholar 

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

    Article  ADS  MathSciNet  MATH  Google Scholar 

  12. Akhshani, A., Akhavan, A., Lim, S.C., Hassan, Z.: An image encryption scheme based on quantum logistic map. Commun. Nonlinear Sci. Numer. Simulat. 17(12), 4653–4661 (2012)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  13. Liao, X., Wen, Q., Song, T., Zhang, J.: Quantum steganography with high efficiency with noisy depolarizing channels. IEICE Trans. Fundam. E96-A(10), 2039–2044 (2013)

    Article  Google Scholar 

  14. Zhou, R.G., Wu, Q., Zhang, M. Q., Shen, C.Y.: Quantum image encryption and decryption algorithms based on quantum image geometric transformations. Int. J. Theor. Phys. 52(6), 1802–1817 (2013)

    Article  MathSciNet  Google Scholar 

  15. Abd El-Latif, A.A., Li, L., Wang, N., Han, Q., Niu, X.: A new approach to chaotic image encryption based on quantum chaotic system, exploiting color spaces. Signal Process. 93(11), 2986–3000 (2013)

    Article  Google Scholar 

  16. Song, X., Wang, S., El-Latif, A.A.A., Niu, X.: Dynamic watermarking scheme for quantum images based on Hadamard transform. Multimedia Syst. 20(4), 1–10 (2014)

    Article  Google Scholar 

  17. Jiang, N., Wang, L., Wu, W.Y.: Quantum Hilbert Image Scrambling. Int. J. Theor. Phys. 53(7), 2463–2484 (2014)

    Article  MATH  Google Scholar 

  18. Yang, Y.G., Xia, J., Jia, X., Zhang, H.: Novel image encryption/decryption based on quantum Fourier transform and double phase encoding. Quantum Inf. Process. 12(11), 3477–3493 (2013)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  19. Hua, T.X., Chen. J., Pei, D.J., Zhang, W.Q., Zhou, N.R.: Quantum image encryption algorithm based on image correlation decomposition. Int. J. Theor. Phys. 54(2), 526–537 (2014)

    Article  MATH  Google Scholar 

  20. Zhou, R.G., Chang, Z.B., Fan, P., Li, W., Huang, T.T.: Quantum image morphology processing based on quantum set operation. Int. J. Theor. Phys. 54(6), 1974–1986 (2015)

    Article  MATH  Google Scholar 

  21. Wang, J., Jiang, N., Wang, L.: Quantum image transform. Quantum Inf. Process. 14(5), 1589–1604 (2015)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  22. Jiang, N., Wu, W., Wang, L., Zhao, N.: Quantum image pseudocolor coding based on the density-stratified method. Quantum Inf. Process. 14(5), 1735–1755 (2015)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  23. Jiang, N., Wang, L.: Quantum image scaling using nearest neighbor interpolation. Quantum Inf. Process. 14(5), 1559–1571 (2015)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  24. Wang, S., Sang, J., Song, X., Niu, X.: Least significant qubit (LSQb) information hiding algorithm for quantum image. Measurement 73, 352–359 (2015)

    Article  Google Scholar 

  25. Gong, L.H., He, X.T., Cheng, S., Hua, T.X., Zhou, N.R.: Quantum image encryption algorithm based on quantum image XOR operations. Int. J. Theor. Phys., 1–15 (2016)

  26. Jiang, N., Wu, W.Y., Wang, L.: The quantum realization of Arnold and Fibonacci image scrambling. Quantum Inf. Process. 13(5), 1223–1236 (2014)

    Article  ADS  MathSciNet  MATH  Google Scholar 

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

    Article  ADS  MathSciNet  MATH  Google Scholar 

  28. Zhou, N.R., Hua, T.X., Gong, L.H., Pei, D.J., Liao, Q.H.: Quantum image encryption based on generalized Arnold transform and double random-phase encoding. Quantum Inf. Process. 14(4), 1193–1213 (2015)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  29. Liu, Z.J., Zhang, Y., Zhao, H.F., Ahmad, M.A., Liu, S.T.: Optical multi-image encryption based on frequency shift. Optik-International Journal for Light and Electron Optics 122(11), 1010–1013 (2011)

    Article  Google Scholar 

  30. Kong, D.Z., Shen, X.J.: Multi-image encryption based on optical wavelet transform and multichannel fractional Fourier transform. Opt. Laser Technol. 57(4), 343–349 (2014)

    Article  ADS  Google Scholar 

  31. Liao, X., Shu, C.: Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels. J. Vis. Commun. Image Represent. 28 (4), 21–27 (2015)

    Article  Google Scholar 

  32. Pan, S.M., Wen, R.H., Zhou, Z.H., Zhou, N.R.: Optical multi-image encryption scheme based on discrete cosine transform and nonlinear fractional Mellin transform. Multimedia Tools and Applications 76, 2933–2953 (2017)

  33. Chen, T.H., Li, K.C.: Multi-image encryption by circular random grids. Inf. Sci. 189(7), 255–265 (2012)

    Article  MathSciNet  Google Scholar 

  34. Arnold, V.I., Avez, A.: Ergodic problems of classical mechanics. Benjamin, New York (1968)

    MATH  Google Scholar 

  35. Vedral, V., Barenco, A., Ekert, A.: Quantum networks for elementary arithmetic operations. Phys. Rev. A 54(1), 147–153 (1996)

    Article  ADS  MathSciNet  Google Scholar 

Download references

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant No. 61462061 and 61561033), the China Scholarship Council (Grant No. 201606825042), the Department of Human Resources and Social security of Jiangxi Province, and the Major Academic Discipline and Technical Leader of Jiangxi Province (Grant No. 20162BCB22011).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nanrun Zhou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, Y., Xie, X., Liu, X. et al. Quantum Multi-Image Encryption Based on Iteration Arnold Transform with Parameters and Image Correlation Decomposition. Int J Theor Phys 56, 2192–2205 (2017). https://doi.org/10.1007/s10773-017-3365-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10773-017-3365-z

Keywords

Navigation