Skip to main content

A Partial Image Cryptosystem Based on Discrete Cosine Transform and Arnold Transform

  • Conference paper
  • First Online:
Recent Advances in Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 266))

  • 1062 Accesses

Abstract

Partial image cryptosystem has drawn much more attention in various real time applications in order to address issue like security along with the computational overhead. Generally in the partial image cryptosystem, the encryption-decryption process is employed on the compressed version of secret image (i.e. the significant part of the secret image) for reducing the computational overhead. In this paper, we have proposed a partial image cryptosystem for uncompressed color image where the discrete cosine transform is employed on each color components of the color image to select the significant coefficients and subsequently the selected coefficients of the color image are fed into encryption process for reducing the computational overhead. In encryption process, the selected coefficients are confused using Arnold transform followed by diffusion with keys. After completion of the encryption process, unencrypted coefficients are appended with encrypted components to form the uncompressed encrypted image. The proposed scheme has been tested on a set of standard color test images and satisfactory results have been found. In addition, the simulation results show the effectiveness of the proposed image cryptosystem in terms of security analysis.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lian, S.: Multimedia Content Encryption: Techniques and Applications, Taylor and Francis Group, LLC, Boca Raton (2009)

    Google Scholar 

  2. Schneier, B.: Cryptography: Theory and Practice, CRC Press, Boca Raton (1995)

    Google Scholar 

  3. Uhl, A., Pommer, A.: Image and Video Encryption: From Digital Rights Management to Secured Personal Communication, Springer, Ney York (2004)

    Google Scholar 

  4. Tanejaa, N., Ramanb, B., Guptaa I.: Selective image encryption in fractional wavelet domain, Int. J. Electron. Commun. (AEÜ) 65, 338–344 (2011)

    Google Scholar 

  5. Lin, K.T.: Hybrid encoding method by assembling the magic-matrix scrambling method and the binary encoding method in image hiding, Optics Commun. 284, 1778–1784

    Google Scholar 

  6. Kumar, A., Ghose, M.K.: Extended substitution–diffusion based image cipher using chaotic standard map, Commun. Nonlinear Sci. Numer. Simulat. 16, 372–382 (2011)

    Google Scholar 

  7. Panduranga, H.T., Naveen Kumar, S.K.: A first approach on an RGB image encryption, Intern. J. Comput. Sci. Eng. 02, 297–300 (2010)

    Google Scholar 

  8. Wang, X., Teng, Lin, Qin, Xue: A novel colour image encryption algorithm based on chaos. Sig. Process. 92, 1101–1108 (2012)

    Article  Google Scholar 

  9. Li, X., Knipe, J., Cheng, H.: A image compression and encryption using tree structures, Pattern Recognit. Lett. 18, 1253–1259 (1997)

    Google Scholar 

  10. Furht, B., Kirovski, D. (eds.): Multimedia Encryption and Authentication Techniques and Applications. Auerbach Publications, Boca Raton (2006)

    Google Scholar 

  11. Lian, S., Chen, X.: On the design of partial encryption scheme for multimedia content. Math. Comput. Modell. 57, 2613–2624 (2013)

    Article  Google Scholar 

  12. Chang, C.C., Lin, C.C., Tseng, C.S., Tai, W.L.: Reversible hiding in DCT-based compressed images. Inf. Sci. 177, 2768–2786 (2007)

    Article  Google Scholar 

  13. Smith, L.: Atutorial on principal components analysis

    Google Scholar 

  14. Bhatnagar, G., Jonathan Wu, Q.M.: Selective image encryption based on pixels of interest and singular value decomposition. Digit. Signal Proc. 22, 648–663 (2012)

    Article  Google Scholar 

  15. Bahrami, S., Naderi, M.: Encryption of multimedia content in partial encryption scheme of DCT transform coefficients using a lightweight stream algorithm. Optik 124, 3693–3700 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kshiramani Naik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer India

About this paper

Cite this paper

Naik, K., Pal, A.K. (2014). A Partial Image Cryptosystem Based on Discrete Cosine Transform and Arnold Transform. In: Biswas, G., Mukhopadhyay, S. (eds) Recent Advances in Information Technology. Advances in Intelligent Systems and Computing, vol 266. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1856-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1856-2_8

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1855-5

  • Online ISBN: 978-81-322-1856-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics