| Peer-Reviewed

Optimum Bit Rate for Image Transmission over Underwater Acoustic Channel

Received: 17 November 2014    Accepted: 24 November 2014    Published: 27 November 2014
Views:       Downloads:
Abstract

In this paper, image transmission in underwater channels is considered. The images are encoded with forward error correction using an unequal error protection technique together with the Reed-Solomon codes and dynamic bit-rate allocation before transmitted. This paper proposes a novel rate allocation scheme for efficient image bit stream transmission in underwater acoustic channels with optimum bit rates. The optimality is achieved in the sense that the comprehensive peak signal–to–noise ratio of the image transmission is maximized under channel bit rate and bit error rate constraints. Based on a modified set partitioning in hierarchical trees (M-SPIHT) image coder, four different flocks of bit-streams based on their significance levels are generated. According to their significance levels, the blocks of the significant bits, the sign bits, the set bits and the refinement bits are transmitted with different protection levels, so as to reduce the total distortion of received image. In addition to the careful selection of each component and intuitive justification in the detailed system design, simulation results have also been included. It is demonstrated that the proposed scheme outperforms the equal error protection for image transmission in underwater channels, significantly improves the peak signals–to–noise ratio (PSNR) performance in comparison to existing coding schemes.

Published in Journal of Electrical and Electronic Engineering (Volume 2, Issue 4)
DOI 10.11648/j.jeee.20140204.12
Page(s) 64-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Rate Allocation, Reed Solomon Coder, SPIHT Coding, Underwater Acoustic Channel, Unequal Error Protection (UEP)

References
[1] I. Iglesias, S. Aijun, J. Garcia-Frias, M. Badiey, and G. R. Arce, "Image transmission over the underwater acoustic channel via compressive sensing," in 45th Annual Conference on Information Sciences and Systems, 2011, pp. 1-6.
[2] D. B. Kilfoyle and A. B. Baggeroer, "The state of the art in underwater acoustic telemetry," IEEE Journal of Oceanic Engineering, vol. 25, pp. 4-27, 2000.
[3] J. Rice, B. Creber, C. Fletcher, P. Baxley, K. Rogers, K. McDonald, et al., "Evolution of seaweb underwater acoustic networking," in Oceans, 2000, pp. 2007-2017.
[4] M. Stojanovic, "Underwater acoustic communication," Wiley Encyclopedia of Electrical and Electronics Engineering, 1999.
[5] C. Murphy and H. Singh, "Wavelet compression with set partitioning for low bandwidth telemetry from AUVs," in Proceedings of the Fifth ACM International Workshop on UnderWater Networks, 2010, pp. 1-8.
[6] C. Pelekanakis, M. Stojanovic, and L. Freitag, "High rate acoustic link for underwater video transmission," in OCEANS, 2003, pp. 1091-1097.
[7] A. Said and W. A. Pearlman, "A new, fast, and efficient image codec based on set partitioning in hierarchical trees," IEEE Transactions on Circuits and systems for video technology, vol. 6, pp. 243-250, 1996.
[8] H. Esmaiel and D. Jiang, "SPIHT coded image transmission over underwater acoustic channel with unequal error protection using HQAM," in IEEE International Conference on Information Science and Technology (ICIST), 2013, pp. 1365-1371.
[9] W. C. Cox, J. A. Simpson, C. P. Domizioli, J. F. Muth, and B. L. Hughes, "An underwater optical communication system implementing Reed-Solomon channel coding," in OCEANS, 2008, pp. 1-6.
[10] P. A. Chou, A. E. Mohr, A. Wang, and S. Mehrotra, "Error control for receiver-driven layered multicast of audio and video," IEEE Transactions on Multimedia, vol. 3, pp. 108-122, 2001.
[11] B. Tomasi, L. Toni, P. Casari, J. Preisig, and M. Zorzi, "A study on the SPIHT image coding technique for underwater acoustic communications," in Proceedings of the Sixth ACM International Workshop on Underwater Networks, 2011, p. 9.
[12] M. A. Kader, F. Ghani, and R. B. Ahmed, "Unequal Error Protection for SPIHT Coded Image Transmission over Erroneous Wireless Channels," Asian Transactions on Fundamentals of Electronics, Communication & Multimedia, vol. 1, pp. 1-6, 2011.
[13] U. S. Mohammed and H. Hamada, "An efficient rate allocation scheme with selective weighted function for optimum peak-to-average power ratio for transmission of image streams over OFDM channels," International Journal of Video & Image Processing & Network Security, vol. 9, 2009.
[14] U. S. Mohammed and H. Hamada, "Image transmission over OFDM channel with rate allocation scheme and minimum peak-toaverage power ratio," Journal of Telecommunication, vol. 2, p. 70:78, 2010.
[15] Y. Sun, R.-m. Li, and X.-l. Cao, "Image compression method of terrain based on Antonini wavelet transform," in IEEE International Geoscience and Remote Sensing Symposium, 2005, pp. 692-695.
[16] E. Christophe and W. A. Pearlman, "Three-dimensional SPIHT coding of volume images with random access and resolution scalability," Journal on Image and Video Processing, vol. 2008, pp. 1-13, 2008.
[17] Z. Lu, D. Y. Kim, and W. A. Pearlman, "Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm," IEEE Transactions on Biomedical Engineering, vol. 47, pp. 849-856, 2000.
[18] J. Preisig, "Acoustic propagation considerations for underwater acoustic communications network development," ACM SIGMOBILE Mobile Computing and Communications Review, vol. 11, pp. 2-10, 2007.
[19] K. Prasanth, "Modelling and Simulation of an Underwater Acoustic Communication Channel," Master, Electronic Engineering University of applied sciences, Bremen, Germany, 2004.
[20] H. Esmaiel and D. Jiang, "Review Article: Multicarrier Communication for Underwater Acoustic Channel," International Journal of Communications, Network and System Sciences, vol. 6, pp. 361-376, 2013.
[21] H. Esmaiel and D. Jiang, "Image transmission over underwater acoustic environment using OFDM technique with HQAM mapper," in IEEE International Conference on Information Science and Technology (ICIST), 2013, pp. 1596-1601.
[22] Y. Chen, X. Xu, L. Zhang, and Z. Zou, "Design and Application of dynamic coding in shallow water acoustic communications," in OCEANS, 2012, pp. 1-6.
[23] A. Sehgal, I. Tumar, and J. Schönwälder, "AquaTools: An Underwater Acoustic Networking Simulation Toolkit," Oceans, pp. 1-6, 2010.
[24] A. Fish, A. Sayeed, S. Gurevich, R. Hadani, and O. Schwartz, "Delay-Doppler channel estimation with almost linear complexity: To Solomon Golomb for the occasion of his 80 birthday mazel tov," in IEEE International Symposium on Information Theory Proceedings, 2012, pp. 2386-2390.
[25] J. Trubuil and T. Chonavel, "Accurate Doppler estimation for underwater acoustic communications," in OCEANS, 2012, pp. 1-5.
[26] A. Katariya, A. Arya, and K. Minda, "Coded under Water Acoustic Communication (UWA) with Cryptography," in International Conference on Computational Intelligence and Communication Networks, 2010, pp. 493-497.
[27] S. Sandberg and N. Von Deetzen, "Design of bandwidth-efficient unequal error protection LDPC codes," IEEE Transactions on Communications, vol. 58, pp. 802-811, 2010.
[28] A. Albanese, J. Blomer, J. Edmonds, M. Luby, and M. Sudan, "Priority encoding transmission," IEEE Transactions on Information Theory, vol. 42, pp. 1737-1744, 1996.
[29] R. Puri and K. Ramchandran, "Multiple description source coding using forward error correction codes," in Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999, pp. 342-346.
[30] A. Goalic, J. Trubuil, C. Laot, and N. Beuzelin, "Underwater acoustic communication using Reed Solomon Block Turbo Codes channel coding to transmit images and speech," in OCEANS, 2010, pp. 1-6.
[31] J. P. Odenwalder, "Error control coding handbook," DTIC Document1976.
[32] M. Chitre, "A high-frequency warm shallow water acoustic communications channel model and measurements," The Journal of the Acoustical Society of America, vol. 122, p. 2580, 2007.
[33] M. Stojanovic, J. Catipovic, and J. G. Proakis, "Adaptive multichannel combining and equalization for underwater acoustic communications," The Journal of the Acoustical Society of America, vol. 94, p. 1621, 1993.
[34] M. A. Chitre, J. R. Potter, and S.-H. Ong, "Optimal and near-optimal signal detection in snapping shrimp dominated ambient noise," IEEE Journal of Oceanic Engineering, vol. 31, pp. 497-503, 2006.
[35] J. S. Panaro, F. R. Lopes, L. M. Barreira, and F. E. Souza, "Underwater Acoustic Noise Model for Shallow Water Communications," in Simpósio Brasileiro de Telecomunicações, 2012, pp. 1-4.
[36] C. T. Kelley, Iterative methods for optimization vol. 18: Society for Industrial and Applied Mathematics, 1987.
[37] M. Stojanovic, "Recent advances in high-speed underwater acoustic communications," IEEE Journal of Oceanic Engineering, vol. 21, pp. 125-136, 1996.
Cite This Article
  • APA Style

    Hamada Esmaiel, Danchi Jiang. (2014). Optimum Bit Rate for Image Transmission over Underwater Acoustic Channel. Journal of Electrical and Electronic Engineering, 2(4), 64-74. https://doi.org/10.11648/j.jeee.20140204.12

    Copy | Download

    ACS Style

    Hamada Esmaiel; Danchi Jiang. Optimum Bit Rate for Image Transmission over Underwater Acoustic Channel. J. Electr. Electron. Eng. 2014, 2(4), 64-74. doi: 10.11648/j.jeee.20140204.12

    Copy | Download

    AMA Style

    Hamada Esmaiel, Danchi Jiang. Optimum Bit Rate for Image Transmission over Underwater Acoustic Channel. J Electr Electron Eng. 2014;2(4):64-74. doi: 10.11648/j.jeee.20140204.12

    Copy | Download

  • @article{10.11648/j.jeee.20140204.12,
      author = {Hamada Esmaiel and Danchi Jiang},
      title = {Optimum Bit Rate for Image Transmission over Underwater Acoustic Channel},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {2},
      number = {4},
      pages = {64-74},
      doi = {10.11648/j.jeee.20140204.12},
      url = {https://doi.org/10.11648/j.jeee.20140204.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20140204.12},
      abstract = {In this paper, image transmission in underwater channels is considered. The images are encoded with forward error correction using an unequal error protection technique together with the Reed-Solomon codes and dynamic bit-rate allocation before transmitted. This paper proposes a novel rate allocation scheme for efficient image bit stream transmission in underwater acoustic channels with optimum bit rates. The optimality is achieved in the sense that the comprehensive peak signal–to–noise ratio of the image transmission is maximized under channel bit rate and bit error rate constraints. Based on a modified set partitioning in hierarchical trees (M-SPIHT) image coder, four different flocks of bit-streams based on their significance levels are generated. According to their significance levels, the blocks of the significant bits, the sign bits, the set bits and the refinement bits are transmitted with different protection levels, so as to reduce the total distortion of received image. In addition to the careful selection of each component and intuitive justification in the detailed system design, simulation results have also been included.  It is demonstrated that the proposed scheme outperforms the equal error protection for image transmission in underwater channels, significantly improves the peak signals–to–noise ratio (PSNR) performance in comparison to existing coding schemes.},
     year = {2014}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Optimum Bit Rate for Image Transmission over Underwater Acoustic Channel
    AU  - Hamada Esmaiel
    AU  - Danchi Jiang
    Y1  - 2014/11/27
    PY  - 2014
    N1  - https://doi.org/10.11648/j.jeee.20140204.12
    DO  - 10.11648/j.jeee.20140204.12
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 64
    EP  - 74
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20140204.12
    AB  - In this paper, image transmission in underwater channels is considered. The images are encoded with forward error correction using an unequal error protection technique together with the Reed-Solomon codes and dynamic bit-rate allocation before transmitted. This paper proposes a novel rate allocation scheme for efficient image bit stream transmission in underwater acoustic channels with optimum bit rates. The optimality is achieved in the sense that the comprehensive peak signal–to–noise ratio of the image transmission is maximized under channel bit rate and bit error rate constraints. Based on a modified set partitioning in hierarchical trees (M-SPIHT) image coder, four different flocks of bit-streams based on their significance levels are generated. According to their significance levels, the blocks of the significant bits, the sign bits, the set bits and the refinement bits are transmitted with different protection levels, so as to reduce the total distortion of received image. In addition to the careful selection of each component and intuitive justification in the detailed system design, simulation results have also been included.  It is demonstrated that the proposed scheme outperforms the equal error protection for image transmission in underwater channels, significantly improves the peak signals–to–noise ratio (PSNR) performance in comparison to existing coding schemes.
    VL  - 2
    IS  - 4
    ER  - 

    Copy | Download

Author Information
  • School of Engineering, University of Tasmania, Hobart, Australia

  • School of Engineering, University of Tasmania, Hobart, Australia

  • Sections