Skip to main content

Performance Enhancement of Error Resilient Entropy Coding on Block Based Bitstream of SPIHT

  • Conference paper
Advances in Multimedia Modeling (MMM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4352))

Included in the following conference series:

  • 879 Accesses

Abstract

Standard image and video techniques designed to provide the bitstream with some level of protection against channel errors usually add a controlled amount of redundancy. This redundancy may take the form of resynchronization makers which enable the decoder to restart the decoding process from a known state in the event of transmission errors. The Error Resilient Entropy Code(EREC) is a well known algorithm designed to reduce the added redundant information. Wavelet tree coding provides the most efficient of image compression currently available with respect to rate-distortion. This paper presents a performance enhancement of EREC on the bitstream of SPIHT, which greatly improves its ability to maintain the compressed image quality in the event of random errors. This paper demonstrates that Efficient and Robust EREC(EREREC) improves the image quality of SPIHT in the presence of channel errors. The simulation result shows that the quality of transmitted image is improved when compared to the existing EREC on SPIHT.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Ghanbari, M., Seferidis, V.: Cell-loss concealment in ATM video codecs. IEEE Trans. Circuits Syst. Video Technol. 3(3), 238–247 (1993)

    Article  Google Scholar 

  2. Ohta, H., Kitami, T.: A cell loss recovery method using FEC in ATM network. IEEE Journal on Selected Areas in Communi. 9(9), 1471–1483 (1991)

    Article  Google Scholar 

  3. Yao, W., Zhu, Q-F.: Error control and concealment for video communication: A Review. Proc. Of the IEEE 86(5) (May 1998)

    Google Scholar 

  4. Redmill, D.W., Kingsbury, N.G.: The EREC: An error resilient technique for coding variable-length blocks of data. IEEE Trans. Image Processing 5, 565–574 (1996)

    Article  Google Scholar 

  5. Chandramouli, R., Ranganathan, N., Ramadoss, S.J.: Adaptive Quantization and Fast Error-Resilient Entropy Coding for Image Transmission. IEEE Trans. on Circuits and Systems for Video Technology 8(4), 411–421 (1998)

    Article  Google Scholar 

  6. Kim, J.-S., Kim, J.-D., Lee, K.-Y.: The Efficient and Robust Error Resilient Entropy Coding of Compressed Image for Wireless Communications. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E88-A(6) (June 2005)

    Google Scholar 

  7. Whitehouse, S., Kingsbury, N.: The Error Resilient Entropy Code Applied to Zerotree Coded Image Data. In: 1999 IEEE 3rd Workshop on Multimedia Signal Processing, September 13-15, pp. 425–430 (1999)

    Google Scholar 

  8. Said, A., Pearlman, W.A.: 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 (1996)

    Article  Google Scholar 

  9. Cao, L., Chen, C.W.: Robust Image Transmission Based on Wavelet Tree Coding and EREC. In: Proceedings of International Conference on Image Processing 2001, October 2001, vol. 3, pp. 222–225 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, JS., Lee, KY. (2006). Performance Enhancement of Error Resilient Entropy Coding on Block Based Bitstream of SPIHT. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69429-8_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69429-8_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69428-1

  • Online ISBN: 978-3-540-69429-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics