Skip to main content
Log in

A compact image encryption system based on Arnold transformation

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

A novel compact image encryption system is proposed based on Arnold transformation (AT). In general, AT is a pixel-scramble tool in image encryption, but its security is not high enough as an independent cryptosystem because of its periodicity. Hence, extra diffusion operations are needed to diffuse the pixel values to acquire the higher security. Here an encryption algorithm is proposed by AT. Firstly, the corresponding coordinates of each pixel in original image are calculated by AT. Secondly, the pixel values of the two corresponding coordinates are disturbed by another AT. These two processes can diffuse the pixel values of the original image. At last, the diffused image is pixel scrambled by AT with different parameters. This is the confusion process. In proposed scheme, the diffusing and confusing operations are both realized by AT. At the same time, the image is encrypted as a pixel distribution instead of a data stream. The key space, key sensitivity, the correlation, the cost time and the security of proposed cryptosystem are analyzed and the results confirm that the proposed image encryption algorithm demonstrates extraordinary performance.

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
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Bhatti UA, Yu ZY, Li J, Nawaz SA, Mehmood A, Zhang K, Yuan LW (2020) Hybrid watermarking algorithm using clifford algebra with Arnold scrambling and chaotic encryption. IEEE Access 8:76386–76398

    Article  Google Scholar 

  2. Boussif M, Aloui N, Cherif A (2020) Securing DICOM images by a new encryption algorithm using Arnold transform and Vigenère cipher. IET Image Process 14(6):1209–1216

    Article  Google Scholar 

  3. Chen GR, Mao YB, Chui CK (2004) A symmetric image encryption scheme based on 3d chaotic cat maps. Chaos Soliton Fract 21(3):749–761

    Article  MathSciNet  Google Scholar 

  4. Chen W, Quan C, Tay CJ (2009) Optical color image encryption based on Arnold transform and interference method. Opt Communications 282 (18):3680–3685

    Article  Google Scholar 

  5. Farwa S, Muhammad N, Shah T, Ahmad S (2017) A novel image encryption based on algebraic S-box and Arnold transform. 3D Res 8(3)

  6. Fridrich J (1998) Symmetric ciphers based on two-dimensional chaotic maps. Int J Bifurcat Chaos 8(6):1259–1284

    Article  MathSciNet  Google Scholar 

  7. Guan ZH, Huang FJ, Guan WJ (2005) Chaos-based image encryption algorithm. Phys Lett A 346(1-3):153–157

    Article  Google Scholar 

  8. Guo Q, Liu ZJ, Liu ST (2010) Color image encryption by using Arnold and discrete fractional random transforms in IHS space. Opt Laser Eng 48 (12):1174–1181

    Article  Google Scholar 

  9. Hua Z, Zhou Y, Pun CM, Chen CLP (2015) 2D Sine logistic modulation map for image encryption. Inf Sci 297(0):80–94

    Article  Google Scholar 

  10. Jithin KC, Sankar S (2020) Colour image encryption algorithm combining Arnold map, DNA sequence operation, and a Mandelbrot set. J Inf Secur Appl 50:102428

    Google Scholar 

  11. Kshiramani N, Kumar PA, Rohit A (2018) Selective image encryption using singular value decomposition and Arnold transform. Int Arab J Inf Techn 15(4):739–747

    Google Scholar 

  12. Liang XK, Tan X, Tao LM, Hu B (2019) Image hybrid encryption based on matrix nonlinear operation and generalized Arnold transformation. Int J Pattern Recogn 33(6):1954022

    Article  Google Scholar 

  13. Liu XY, Cao YP, Lu P, Lu X, Li Y (2013) Optical image encryption technique based on compressed sensing and Arnold transformation. Optik 124(24):6590–6593

    Article  Google Scholar 

  14. Liu ZJ, Xu L, Liu T, Chen H, Li PF, Lin C, Liu ST (2011) Color image encryption by using arnold transform and color-blend operation in discrete cosine transform domains. Opt Communications 284:123–128

    Article  Google Scholar 

  15. Madhusudhan KN, Sakthivel P (2020) A secure medical image transmission algorithm based on binary bits and Arnold map. J Ambient Intell Human Comput

  16. Ran QW, Yuan L, Zhao TY (2015) Image encryption based on nonseparable fractional fourier transform and chaotic map. Opt Communications 348:43–49

    Article  Google Scholar 

  17. Sneha PS, Sankar S, Kumar AS (2020) A chaotic colour image encryption scheme combining Walsh–Hadamard transform and Arnold–Tent maps. J Ambient Intell Hu- maniz Comput 11:1289–1308

    Article  Google Scholar 

  18. Tang Z, Zhang X (2011) Secure image encryption without size limitation using Arnold transform and random strategies. JMM 6(2):202–206

    MathSciNet  Google Scholar 

  19. Wu C, Tian XP (2010) 3-dimensional non-equilateral arnold transformation and its application in image scrambling. J Compute-Aided Design and Graphics 22(10):831–1840

    Google Scholar 

  20. Wu Y, Zhou Y, Agaian S, Noonana JP (2014) A symmetric image cipher using wave perturbations. Signal Process 102(9):122–131

    Article  Google Scholar 

  21. Zhou NR, Yan XY, Liang HR, Tao XR, Li GY (2018) Multi-image encryption scheme based on quantum 3d Arnold transform and scaled zhongtang chaotic system. Quantum Inf Process 17(12)

Download references

Acknowledgements

This work is supported by the National Natural Science Foundation of China (No.11947028; No.11874132) and the Fundamental Research Funds for the Central Universities (No.JUSRP12041).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jingjing Wu.

Ethics declarations

Conflict of interests

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, J., Liu, Z., Wang, J. et al. A compact image encryption system based on Arnold transformation. Multimed Tools Appl 80, 2647–2661 (2021). https://doi.org/10.1007/s11042-020-09828-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-020-09828-z

Keywords

Navigation