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International Conference on Informatics Engineering and Information Science

ICIEIS 2011: Informatics Engineering and Information Science pp 484–497Cite as

Data Compression Algorithms for Visual Information

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 253))

Abstract

Audio-visual information is one of the richest but also most bandwidth-consuming modes of communication. To meet the requirements of new applications, powerful data compression schemes are needed to reduce the global bit rate drastically. In this paper, we proposed a simple lossless visual image compression scheme that will be used to compress visual images. In this scheme, the two dimensional visual image data is converted to a one dimensional data using our proposed pixel scanning method. The difference between consecutive pixel values in the resulting one dimensional image data is taken and the residues are encoded losslessly using an entropy encoder. The working principles of this our approach is presented together with the image compression algorithm used. We developed a software algorithm and implemented it to compress some standard test images using Huffman style coding techniques in a MATLAB platform.

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References

  1. Akyildiz, I.F., Melodia, T., Chowdhury, K.R.: A survey on wireless multimedia sensor networks. Computer Networks 51, 921–960 (2007)

    Article  Google Scholar 

  2. Kulkarni, R.V., Forster, A., Venayagamoorthy, G.K.: Computational Intelligence in Wireless Sensor Networks: A Survey. IEEE Communications Surveys & Tutorials 13, 68–96 (2011)

    Article  Google Scholar 

  3. Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Computer Networks 52, 2292–2330 (2008)

    Article  Google Scholar 

  4. Akyildiz, I.: Wireless sensor networks: a survey. Computer Networks 38, 393–422 (2002)

    Article  Google Scholar 

  5. Chew, L.W., Ang, L., Seng, K.: Survey of image compression algorithms in wireless sensor networks. In: International Symposium on Information Technology, ITSim 2008, vol. 4, pp. 1–9 (2008)

    Google Scholar 

  6. Anastasi, G., Conti, M., Di Francesco, M., Passarella, A.: Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks 7, 537–568 (2009)

    Article  Google Scholar 

  7. Kimura, N., Latifi, S.: A survey on data compression in wireless sensor networks. In: International Conference on Information Technology: Coding and Computing (ITCC 2005), vol. II, pp. 8–13 (2005)

    Google Scholar 

  8. Tharini, C.: An Efficient Data Gathering Scheme for Wireless Sensor Networks. European Journal of Scientific Research 43, 148–155 (2010)

    Google Scholar 

  9. Dolfus, K., Braun, T.: An Evaluation of Compression Schemes for Wireless Networks. In: International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 1183–1188 (2010)

    Google Scholar 

  10. van der Byl, A., Neilson, R., Wilkinson, R.H.: An evaluation of compression techniques for Wireless Sensor Networks. In: Africon 2009, pp. 1–6 (2009)

    Google Scholar 

  11. Tharini, C., Vanaja Ranjan, P.: Design of Modified Adaptive Huffman Data Compression Algorithm for Wireless Sensor Network. Journal of Computer Science 5, 466–470 (2009)

    Article  Google Scholar 

  12. Marcelloni, F., Vecchio, M.: An Efficient Lossless Compression Algorithm for Tiny Nodes of Monitoring Wireless Sensor Networks. The Computer Journal 52, 969–987 (2009)

    Article  Google Scholar 

  13. Barr, K.C., Asanović, K.: Energy-aware lossless data compression. ACM Transactions on Computer Systems 24, 250–291 (2006)

    Article  Google Scholar 

  14. Marcelloni, F., Vecchio, M.: A Simple Algorithm for Data Compression in Wireless Sensor Networks. IEEE Communications Letters 12, 411–413 (2008)

    Article  Google Scholar 

  15. Schoellhammer, T., Greenstein, B., Osterweil, E., Wimbrow, M., Estrin, D.: Lightweight temporal compression of microclimate datasets. In: 29th Annual IEEE International Conference on Local Computer Networks, pp. 516–524 (2004)

    Google Scholar 

  16. Sadler, C.M., Martonosi, M.: Data compression algorithms for energy-constrained devices in delay tolerant networks. In: Proceedings of the 4th International Conference on Embedded Networked Sensor Systems - SenSys 2006, p. 265 (2006)

    Google Scholar 

  17. Chew, L.W., Chia, W.C., Ang, L.-M., Seng, K.P.: Very Low-Memory Wavelet Compression Architecture Using Strip-Based Processing for Implementation in Wireless Sensor Networks. EURASIP Journal on Embedded Systems 2009, 1–16 (2009)

    Article  Google Scholar 

  18. Huu, P.N., Tran-quang, V., Miyoshi, T.: Image Compression Algorithm Considering Energy Balance on Wireless Sensor Networks. Image, 1005–1010 (2010)

    Google Scholar 

  19. Enesi, I., Zanaj, E., Kamo, B., Kolici, V., Shurdi, O.: Image Compression for Wireless Outdoor Sensor Networks Related research. In: BALWOIS 2010 - Ohrid, Republic of Macedonia, May 29-25, pp. 1–11 (2010)

    Google Scholar 

  20. Razzak, M.I., Hussain, S.A., Minhas, A.A., Sher, M.: Collaborative Image Compression in Wireless Sensor Networks. International Journal of Computational Cognition 8(1), 24–29 (2010), http://Www.Ijcc.Us

    Google Scholar 

  21. Hussain, S.A., Razzak, M.I., Minhas, A.A., Sher, M., Tahir, G.R.: Energy Efficient Image Compression in Wireless Sensor Networks. International Journal of Recent Trends in Engineering 2(1), 2–5 (2009)

    Google Scholar 

  22. Wugnef, R., Nowak, R., Baruniuk, R.: Distributed Image Compression For Sensor Networks Using Correspondence Analysis and Super-Resolution. Analysis, 597–600 (2003)

    Google Scholar 

  23. Chow, K.-Y., Lui, K.-S., Lam, E.Y.: Efficient On-Demand Image Transmission in Visual Sensor Networks. EURASIP Journal on Advances in Signal Processing 2007, 1–12 (2007)

    Article  MATH  Google Scholar 

  24. Welch, T.: A Technique for High-Performance Data Compression. Computer 17(6), 8–19 (1984)

    Article  Google Scholar 

  25. Huffman, D.A.: A method for the construction of minimum-redundancy codes. Proceedings of the Institute of Radio Engineers 40(9), 1098–1101 (1952)

    MATH  Google Scholar 

  26. Pennebaker, W.B., Mitchell, J.L.: JPEG Still Image Data Compression Standard. Kluwer Academic Publishers, Norwell (1992)

    Google Scholar 

  27. 256X256 Grayscale Test Images, http://www2.isye.gatech.edu/~brani/datapro.html (accessed June 17, 2011)

  28. Standard test images, http://pami.uwaterloo.ca/tizhoosh/images.htm (accessed June 17, 2011)

  29. Seagull, http://photo-info.co.nz/articles/removing-image-backgrounds-gimp (accessed June 17, 2011)

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, The University of Nottingham Malaysia, Campus, Jalan Broga, 43500, Semenyih, Selangor Darul Ehsan, Malaysia

    Jonathan Gana Kolo, Kah Phooi Seng, Li-Minn Ang & S. R. S. Prabaharan

Authors
  1. Jonathan Gana Kolo
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  2. Kah Phooi Seng
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  3. Li-Minn Ang
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  4. S. R. S. Prabaharan
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Editor information

Editors and Affiliations

  1. Advanced Informatics School (UTM AIS), UTM International Campus, 54100, Kuala Lumpur, Malaysia

    Azizah Abd Manaf , Shamsul Sahibuddin , Rabiah Ahmad  & Salwani Mohd Daud , ,  & 

  2. Information Systems Department, King Saud University, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Gana Kolo, J., Seng, K.P., Ang, LM., Prabaharan, S.R.S. (2011). Data Compression Algorithms for Visual Information. In: Abd Manaf, A., Sahibuddin, S., Ahmad, R., Mohd Daud, S., El-Qawasmeh, E. (eds) Informatics Engineering and Information Science. ICIEIS 2011. Communications in Computer and Information Science, vol 253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25462-8_44

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  • DOI: https://doi.org/10.1007/978-3-642-25462-8_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25461-1

  • Online ISBN: 978-3-642-25462-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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