Skip to main content
SpringerLink
Log in

Information Hiding Based on Binary Encoding Methods and Linear Transformation Scrambling Techniques

  • Conference paper
Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 329))

  • 1525 Accesses

Abstract

The paper proposes a hybrid method that combines a binary encoding method and a linear transformation scrambling technique to hide an image. Firstly, a linear transformation scrambling technique is used to rearrange the pixel values of a covert image to form a linear-transformation-scrambled matrix by using a certain linear transformation scrambling technique. Secondly, the linear-transformation-scrambled matrix is encoded into a host image to form an overt image by using a certain encoding method. The overt image contains seven groups of binary codes, i.e. identification codes, dimension codes, graylevel codes, linear slope codes, linear intersection codes, linear transformation scrambling times codes, and information codes. The parameters are used to encode and hide the covert image. According to the simulation results, the proposed method does well, larger image scrambling degree for the scrambled matrix, and saver computing time.

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

Access this chapter

Log in via an institution
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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yang, Y.L., Cai, N., Ni, G.Q.: Digital Image Scrambling Technology Based on the Symmetry of Arnold Transform. Journal of Beijing Institute of Technology 15, 216–221 (2006)

    Google Scholar 

  2. Zhou, Y., Agaian, S., Joyner, V.M., Panetta, K.: Two Fibonacci p-code based image scrambling algorithms. In: Proceedings of SPIE, vol. 6812, p. 681215 (2008)

    Google Scholar 

  3. Lin, K.T., Lin, P.H.: Information hiding based on binary encoding methods and crossover mechanism of genetic algorithms. In: Pan, J.-S., Krömer, P., Snášel, V. (eds.) Genetic and Evolutionary Computing. AISC, vol. 238, pp. 203–212. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  4. Zhao, J., Lu, H., Fan, Q.: Color Image Encryption Based on Fractional Fourier Transforms and Pixel Scrambling Technique. In: Proceedings of SPIE, vol. 6279, p. 62793B (2007)

    Google Scholar 

  5. Meng, X.F., Cai, L.Z., Yang, X.L., Shen, X.X., Dong, G.Y.: Information Security System by Iterative Multiple-phase Retrieval and Pixel Random Permutation. Applied Optics 45, 3289–3295 (2006)

    Article  Google Scholar 

  6. Lin, K.T.: Digital Information Encrypted in an Image Using Binary Encoding. Optics Communications 281, 3447–3453 (2008)

    Article  Google Scholar 

  7. Yu, X.Y., Ren, H., Li, E.S., Zhang, X.D.: A New Measurement Method of Image Encryption. Journal of Physics: Conference Series 48, 408–413 (2006)

    Google Scholar 

  8. Kutter, M., Petitcolas, F.A.P.: A Fair Benchmark for Image Watermarking Systems. In: Proceedings of SPIE, vol. 3657, pp. 226–231 (1999)

    Google Scholar 

  9. Shih, T.K., Lu, L.C., Chang, R.C.: An Automatic Image in Paint Tool. In: Proceedings of the Eleventh ACM International Conference on Multimedia, pp. 102–103 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical and Computer-Aided Engineering, St. John’s University, 499, Section 4, Tam King Road, Tamsui, New Taipei City, 25135, Taiwan

    Kuang Tsan Lin

Authors
  1. Kuang Tsan Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kuang Tsan Lin .

Editor information

Editors and Affiliations

  1. HIGH-TECH Industry Development Zone, Nanchang Institute of Technology, Jiangxi Province, China

    Hui Sun

  2. Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Magong City, Taiwan

    Chin-Yu Yang

  3. Innovative Information Industry Research Center, Shenzhen University Harbin Institute of Technology, Shenzhen, China

    Chun-Wei Lin

  4. Harbin Institute of Technology Innovative Info. Industry Res. Center, Shenzhen University, Shenzhen, China

    Jeng-Shyang Pan

  5. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  6. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Lin, K.T. (2015). Information Hiding Based on Binary Encoding Methods and Linear Transformation Scrambling Techniques. In: Sun, H., Yang, CY., Lin, CW., Pan, JS., Snasel, V., Abraham, A. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-319-12286-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-12286-1_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12285-4

  • Online ISBN: 978-3-319-12286-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation