Skip to main content
SpringerLink
Log in

Edge detection steganography and quantum circuit design based on a novel fractal chaotic system

  • Published:
Quantum Information Processing Aims and scope Submit manuscript

Abstract

A quantum image steganography algorithm based on edge detection is proposed. Firstly, a new fractal chaotic system with good chaotic properties is proposed to improve the security of the secret information. In addition, this study creates a new steganography algorithm with edge detection. By finding as many edge points in the image as possible through edge detection, the secret information is embedded in non-edge locations, which greatly improves the security and invisibility of the algorithm. Meanwhile, an efficient and secure quantum steganographic circuit is designed. The results of simulation experiments and numerical analysis show that the algorithm is securely complete and invisible and also has good robustness.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

Data availability statement

The used datasets analyzed during the current study are openly available from http://sipi.usc.edu/database/, and the data used to support the findings of this study are available from the corresponding author on reasonable request.

References

  1. Gao, Y.J., Xie, H.W., Zhang, J., Zhang, H.: A novel quantum image encryption technique based on improved controlled alternated quantum walks and hyperchaotic system. Physica A 598, 127334 (2022)

    Article  MathSciNet  Google Scholar 

  2. Dai, S., Sun, K., He, S., Ai, W.: Complex chaotic attractor via fractal transformation. Entropy 21(11), 1115 (2019)

    Article  ADS  MathSciNet  Google Scholar 

  3. Li, P., Shi, T., Lu, A., Wang, B.: Quantum implementation of classical Marr-Hildreth edge detection. Quantum Inf. Process. 19, 1–26 (2020)

    ADS  MathSciNet  Google Scholar 

  4. Cui, L., Lu, M., Ou, Q., Duan, H., Luo, W.: Analysis and circuit implementation of fractional order multi-wing hidden attractors. Chaos Solitons Fractals 138, 109894 (2020)

    Article  MathSciNet  Google Scholar 

  5. Wang, W.T., Sun, J.Y., Zhang, H., Zhang, J.: Quantum cryptosystem and circuit design for color image based on novel 3D Julia-fractal chaos system. Quantum Inf. Process. 22(1), 64 (2023)

    Article  ADS  MathSciNet  Google Scholar 

  6. Zhou, R.G., Hu, W., Fan, P.: Quantum watermarking scheme through Arnold scrambling and LSB steganography. Quantum Inf. Process. 16(9), 1–21 (2017)

    Article  ADS  MathSciNet  Google Scholar 

  7. Wang, W.T., Sun, J.Y., Wang, G., Zhang, H.: Fisher-Yates scrambling algorithm combined with S-box color image encryption technology based on 3D-SCCM chaotic system. Multimed. Tools Appl. 82, 1–26 (2023)

    Article  Google Scholar 

  8. Wu, C., Huang, F., Dai, J., Zhou, N.: Quantum SUSAN edge detection based on double chains quantum genetic algorithm. Physica A 605, 128017 (2022)

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  10. Xie, H.W., Gao, Y.J., Liu, X.L., Zhang, J., Zhang, H.: A novel exploiting modification direction scheme and its application in quantum color image steganography. Quantum Inf. Process. 21(7), 249 (2022)

    Article  ADS  MathSciNet  Google Scholar 

  11. Jaradat, A., Taqieddin, E., Mowafi, M.: A high-capacity image steganography method using chaotic particle swarm optimization. Secur. Commun. Netw. 2021, 1–11 (2021)

    Article  Google Scholar 

  12. Ubhi, J.S., Aggarwal, A.K.: Neural style transfer for image within images and conditional GANs for destylization. J. Vis. Commun. Image Represent. 85, 103483 (2022)

    Article  Google Scholar 

  13. Sun, J.Y., Wang, W.T., Yan, P.F., Zhang, H.: Quantum steganography scheme and circuit design based on the synthesis of three grayscale images in the HSI color space. Quantum Inf. Process. 22(9), 349 (2023)

    Article  ADS  MathSciNet  Google Scholar 

  14. Sun, J.Y., Wang, W.T., Zhang, H., Zhang, J.: Color image quantum steganography scheme and circuit design based on DWT+ DCT+ SVD. Physica A 617, 128688 (2023)

    Article  MathSciNet  Google Scholar 

  15. Sonar, R., Swain, G.: Steganography based on quotient value differencing and pixel value correlation. CAAI Trans. Intell. Technol. 6(4), 504–519 (2021)

    Article  Google Scholar 

  16. Kumar, R., Jung, K.H.: Robust reversible data hiding scheme based on two-layer embedding strategy. Inf. Sci. 512, 96–107 (2020)

    Article  MathSciNet  Google Scholar 

  17. Ma, Y., Yu, F.F., Gong, L.H., Zou, W.P.: Fast quantum image encryption scheme based on multilayer short memory fractional order Lotka-Volterra system and dual-scale triangular map. Front. Phys. 10, 1001 (2022)

    Article  Google Scholar 

  18. Deeba, F., Kun, S., Dharejo, F.A., Zhou, Y.: Lossless digital image watermarking in sparse domain by using K-singular value decomposition algorithm. IET Image Proc. 14(6), 1005–1014 (2020)

    Article  Google Scholar 

  19. Islam, M., Roy, A., Laskar, R.H.: SVM-based robust image watermarking technique in LWT domain using different sub-bands. Neural Comput. Appl. 32, 1379–1403 (2020)

    Article  Google Scholar 

  20. Makbol, N.M., Khoo, B.E., Rassem, T.H., Loukhaoukha, K.: A new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection. Inf. Sci. 417, 381–400 (2017)

    Article  Google Scholar 

  21. Khan, M., Rasheed, A.: A fast quantum image encryption algorithm based on affine transform and fractional-order Lorenz-like chaotic dynamical system. Quantum Inf. Process. 21(4), 134 (2022)

    Article  ADS  MathSciNet  Google Scholar 

  22. Khan, M., Rasheed, A.: A secure controlled quantum image steganography scheme based on the multi-channel effective quantum image representation model. Quantum Inf. Process. 22(7), 268 (2023)

    Article  ADS  MathSciNet  Google Scholar 

Download references

Acknowledgements

This research is supported by the National Natural Science Foundation of China (Nos: 61702356), Natural Science Foundation of ShanXi Province (Nos: 20210302124050), Project 1331 of Shanxi Province (Nos: SC9100026).

Author information

Authors and Affiliations

  1. School of Software, Taiyuan University of Technology, Taiyuan, 030024, China

    Sun Jing-yu & Wang Wan-ting

  2. College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China

    Zhang Jun & Zhang Hao

  3. School of Mathematical Sciences, Chongqing Normal University, Chongqing, 401331, China

    Zhou Shuang

Authors
  1. Sun Jing-yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wang Wan-ting
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhang Jun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhou Shuang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhang Hao
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Sun Jing-yu and Wang Wan-ting wrote the main manuscript text and Zhang Jun and Zhou Shuang prepared figures 1-9, Zhang Hao prepared figures 10-16. All authors reviewed the manuscript.

Corresponding author

Correspondence to Zhang Hao.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jing-yu, S., Wan-ting, W., Jun, Z. et al. Edge detection steganography and quantum circuit design based on a novel fractal chaotic system. Quantum Inf Process 23, 112 (2024). https://doi.org/10.1007/s11128-024-04328-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11128-024-04328-7

Keywords

Search

Navigation