Skip to main content

A Hybrid Approach for Simultaneous Compression and Encryption of an Image in Wireless Media Sensor Networks

  • Conference paper
  • First Online:
Advanced Computing and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 452))

  • 1293 Accesses

Abstract

In this paper, the advantages of discrete cosine transform and discrete wavelet transform have been harnessed by considering them together for compression, followed by an energy efficient Secured Force encryption technique. This was done in order to simultaneously compress and encrypt the image that has to be transmitted through Wireless Media Sensor Network (WMSN). The proposed technique provides better and faster compression as compared to the existing techniques. Results show that, there is an average increase of 4 % in compression with respect to DCT based compression and DWT based compression. Also, in the proposed approach, Chroma cr. matrix is used for quantization, which has reduced the total processing time by a huge amount as compared to the other quantization matrices.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Akyildiz, I.F., Melodia, T., Chowdhury, K.R.: A survey on wireless multimedia sensor networks, computer networks, vol. 51, pp. 921–960. Elsevier (2007)

    Google Scholar 

  2. ZainEldin, H., Elhosseini, M.A., Ali, H.A.: Image compression algorithms in wireless multimedia sensor networks: a survey, Ain Shams engineering journal, vol. 6, pp. 481–490. Elsevier (2015)

    Google Scholar 

  3. Nandhini, A.S., Sankararajan, R., Rajendiran, K.: Video compressed sensing framework for wireless multimedia sensor networks using a combination of multiple matrices, computers and electrical engineering, vol. 44, pp. 51–66. Elsevier (2015)

    Google Scholar 

  4. Chowdhury, M.M.H., Khatun, A.: Image compression using discrete wavelet transform. IJCSI Int. J. Comput. Sci. Issues 9(4), No. 1 (2012)

    Google Scholar 

  5. Jaffar Iqbal Barbhuiya, A.H.M, Laskar, T.A, Hemachandran, K.: An approach for color image compression of JPEG and PNG images using DCT and DWT. In: International Conference on Computational Intelligence and Communication Networks (CICN), pp. 129–133 (2014)

    Google Scholar 

  6. Mohta, J, Pathak K.K.: Image compression and gamma correction using DCT. In: International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), pp. 322–326 (2015)

    Google Scholar 

  7. Alfalou, A., Brosseau, C.: Optical image compression and encryption methods. Adv. Opt. Photon 1, 589–636 (2009)

    Google Scholar 

  8. Alfalou, A., Mansour, A., Elbouz, M., Brosseau C.: Optical compression scheme to multiplex and simultaneously encode images. In: Optical and Digital Image Processing Fundamentals and Applications, pp. 463–483. Wiley, NewYork (2011)

    Google Scholar 

  9. Sawlikar1, A.P., Khan, Z.J., Akojwar, S.G.: Power optimization of wireless sensor networks using encryption and compression techniques. In: 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies, pp. 222–227 (2014)

    Google Scholar 

  10. Rajput, A.S., Mishra, N., Sharma, S.: Towards the growth of image encryption and authentication schemes. In: 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 135–147 (2013)

    Google Scholar 

  11. Ebrahim, M., Chong, C.W.: Secure force: a low-complexity cryptographic algorithm for wireless sensor network (WSN). In: 2013 IEEE International Conference on Control System, Computing and Engineering, pp. 557–562. Penang, Malaysia (2013)

    Google Scholar 

  12. Zimbico, A., Schneider, F., Maia, J.: Comparative study of the performance of the JPEG algorithm using optimized quantization matrices for ultrasound image compression. In: Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE, pp. 1–6 (26–28 May 2014)

    Google Scholar 

  13. Nicolas Robidoux: Better JPEG quantization tables. http://www.imagemagick.org (2012)

  14. Gupta, D., Choubey, S.: Discrete wavelet transform for image processing. Int. J. Emerg. Technol. Adv. Eng. 4(3), 598–602 (2015)

    Google Scholar 

  15. Zhu, S., Setia, S., Jajodia, S.: LEAP: Efficient security mechanisms for large scale distributed sensor networks. In: Proceedings of the 10th ACM Conference on Computer and Communications Security, pp. 62–72. Washington DC USA (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Karthikeyan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Karthikeyan, A., Srividhya, V., Gupta, P., Rai, N. (2016). A Hybrid Approach for Simultaneous Compression and Encryption of an Image in Wireless Media Sensor Networks. In: Choudhary, R., Mandal, J., Auluck, N., Nagarajaram, H. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 452. Springer, Singapore. https://doi.org/10.1007/978-981-10-1023-1_47

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-1023-1_47

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1021-7

  • Online ISBN: 978-981-10-1023-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics