Skip to main content

SPIHT Algorithm Based on Fast Lifting Wavelet Transform in Image Compression

  • Conference paper
Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

Included in the following conference series:

Abstract

This paper presents the improved algorithm according to image compression technology to pledge the real time of the image transmission and gain the high compression ratio under the image quality. The improved SPIHT image coding algorithm based on fast lifting wavelet transform presents fast lifting wavelet transform to improve trasform course, because of many consecutive zero appearing in SPIHT quantification coding, adopting the simultaneous encoding of entropy and SPIHT. Entropy coding adopts run-length-changeable coding. Experiment results show that encoding by this method can improve PSNR and efficiency. This method can apply in the image data transmission and storage of remote image surveillance systems.

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 PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

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. Sweldens, W.: The lifting scheme: A construction of second wavelets. SIAM, J. Math. Anal. 29, 511–546 (1996)

    Article  MathSciNet  Google Scholar 

  2. Kim, K.L., Ra, S.W.: Performance improvement of the SPIHT coder. Signal Processing: Image Communication 19, 29–36 (2004)

    Article  MATH  Google Scholar 

  3. Taubman, D.: High Performance Scalable Image Compression with EBCOT. IEEE Trans. Image Processing 9, 1158–1170 (2000)

    Article  Google Scholar 

  4. Shapiro, J.M.: Embedded image coding using zerotrees of wavelet coefficients. IEEE Trans. Signal Process 12, 31–39 (1993)

    Google Scholar 

  5. Said, A., Pearlman, W.A.: A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circuit Syst. Video Technol. 6, 243–250 (1996)

    Article  Google Scholar 

  6. Park, K.H., Lee, C.S.: A multiresolutional coding method based on SPIHT. Signal Processing: Image Communication 17, 467–476 (2002)

    Article  MATH  Google Scholar 

  7. Kishore, A., Chaitali, C., Tinku, A.: A VLSI architecture for lifting-based forward and inverse wavelet transform. IEEE Trans. Actions on Signal Processing 50, 966–977 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fan, W., Chen, J., Zhen, J. (2005). SPIHT Algorithm Based on Fast Lifting Wavelet Transform in Image Compression. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_122

Download citation

  • DOI: https://doi.org/10.1007/11596981_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics