Skip to main content
Springer Nature Link
Log in

An Efficient Source–Channel Coding for Wireless Image Transmission Over Underwater Acoustic Channel

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, a complete system for image transmission in harsh underwater environment is proposed. The key to increase the performance of the system is the use of an efficient image compression algorithm with a bandwidth-efficient modulation technique. The wavelet packet (WP) decomposition is used to get the best image representation and the set partitioning in hierarchical trees is applied on the WP coefficients. The parental conflicts are resolved, the parent–child relationships are adapted and thus the similarities between cross-subbands are preserved. Reed–Solomon is used for forward error correction to combat with the errors in wireless transmission. Orthogonal frequency division multiplexing with differential quadrature phase shift keying is used to transmit the generated bit stream. Effective image quality metrics are used for objective evaluation. Results show that the proposed system manages to transmit images over the limited bandwidth, and to effectively minimize the perceptual degradation.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Poncela, J., Aguayo, M. C., & Otero, P. (2012). Wireless underwater communications. Wireless Personal Communications, 64(3), 547–560.

    Article  Google Scholar 

  2. Esmaiel, H., & Jiang, D. (2013). SPIHT coded image transmission over underwater acoustic channel with unequal error protection using HQAM. In Third international conference on information science and technology, China (pp. 1365–1371).

  3. Mistry, K., & Modi, H. (2016). Design of high data rate and multipath efficient underwater acoustic communication system using OFDM–DQPSK. In Proceedings of international conference on ICT for sustainable development, volume 408 of the series advances in intelligent systems and computing (pp. 493–502).

  4. Esmaiel, H., & Jiang, D. (2013). Image transmission over underwater acoustic environment using OFDM technique with HQAM mapper. In Third international conference on information science and technology, China (pp. 1596–1601).

  5. Atallah, A. M., Ali, H. S., & Abdallah, M. I. (2016). An integrated system for underwater wireless image transmission. In Proceedings of 28th International Conference on Microelectronics (ICM), Egypt (pp. 169–172).

  6. Sarisaray-Boluk, P., Gungor, V. C., Baydere, S., & Harmanci, A. E. (2011). Quality aware image transmission over underwater multimedia sensor networks. Ad Hoc Networks, 9(7), 1287–1301.

    Article  Google Scholar 

  7. Santoso, T. B., Wirawan, & Hendrantoro, G. (2012). Image transmission with OFDM technique in underwater acoustic environment. In 7th international conference on telecommunication systems, services, and applications (TSSA), Bali (pp. 37–41).

  8. Tomasi, B., Toni, L., Casari, P., Preisig, J., & Zorzi, M. (2011). A study on the SPIHT image coding technique for underwater acoustic communications. In: Proceedings of the 6th ACM international workshop on underwater networks. doi:10.1145/2076569.2076578.

  9. Esmaiel, H., & Jiang, D. (2014). Optimum bit rate for image transmission over underwater acoustic channel. Journal of Electrical and Electronic Engineering, 2(4), 64–74.

    Article  Google Scholar 

  10. Urick, R. J. (1983). Principles of underwater sound. New York: McGraw-Hill Companies.

    Google Scholar 

  11. Chen, Y., Xu, X., Zhang, L., & Zou, Z. (2012). Design and application of dynamic coding in shallow water acoustic communications. In The OCEANS, Yeosu (pp. 1–6).

  12. Said, A., & Pearlman, W. A. (1996). A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology, 6(3), 243–250.

    Article  Google Scholar 

  13. Ramchandran, K., Vetterli, M., & Herley, C. (1996). Wavelets, subband coding, and best bases. Proceedings of the IEEE, 84(4), 541–560.

    Article  Google Scholar 

  14. Sprljan, N., Grgic, S., & Grgic, M. (2005). Modified SPIHT algorithm for wavelet packet image coding. Real-Time Imaging, 11(2005), 378–388.

    Article  Google Scholar 

  15. Xiong, Z., Ramchandran, K., & Orchard, M. T. (1998). Wavelet packet image coding using space-frequency quantization. IEEE Transactions on Image Processing, 7(6), 892–898.

    Article  Google Scholar 

  16. Rajpoot, N. M., Wilson, R. G., Meyer, F. G., & Coifman, R. R. (2003) Adaptive wavelet packet basis selection for zerotree image coding. IEEE Transactions on Image Processing, 12(12), 1460–1472.

    Article  MathSciNet  Google Scholar 

  17. van Nee, R., & Prasad, R. (2000). OFDM for wireless multimedia communications. Norwood, MA: Artech House, Inc.

    Google Scholar 

  18. http://www.mathworks.com/matlabcentral/fileexchange/3675-wpsnr.

  19. Wang, Z., Simoncelli, E. P., & Bovik, A. C. (2003). Multis-scale structural similarity for image quality assessment. In Proceedings of the 37th IEEE Asilomar conference of signals, systems and computers, Pacific Grove, CA (Vol. 2, pp. 1398–1402).

  20. Garcia, D. (2010). Robust smoothing of gridded data in one and higher dimensions with missing values. Computational Statistics & Data Analysis, 54, 1167–1178.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electronics & Communication Dept., Faculty of Engineering, Zagazig University, Zagazig, Egypt

    Hanaa S. Ali, Asmaa M. Atallah & M. I. Abdalla

  2. Zagazig Higher Institute for Engineering and technology, Zagazig, Egypt

    Asmaa M. Atallah

Authors
  1. Hanaa S. Ali
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Asmaa M. Atallah
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. I. Abdalla
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hanaa S. Ali.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ali, H.S., Atallah, A.M. & Abdalla, M.I. An Efficient Source–Channel Coding for Wireless Image Transmission Over Underwater Acoustic Channel. Wireless Pers Commun 96, 291–302 (2017). https://doi.org/10.1007/s11277-017-4167-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4167-6

Keywords