Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

A Novel Wavelet Image Coding Based on Non-uniform Scalar Quantization

  • 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:

  • 1236 Accesses

Abstract

In this paper, we investigate the problem of how to quantize the wavelet coefficients in the lowest frequency subband with non-uniform scalar method. A novel wavelet image coding algorithm based on non-uniform scalar quantization is proposed. This algorithm adopts longer step to quantize the wavelet coefficients in the lowest frequency subband and uses shorter step for other ones. According as the results of the experiment we design a coding approach by using two labels 0 or 1 to code a coefficient bit of decimal plane. Experiment results have shown the proposed scheme improves the performance of wavelet image coders. In particular, it will get better coding gain in the low bit rate image coding.

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

Access this chapter

Log in via an institution

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. Shapiro, J.M.: Embedded image coding using zerotrees of wavelet coefficients. IEEE Trans. Signal Processing 41, 3445–3463 (1993)

    Article  MATH  Google Scholar 

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

    Article  Google Scholar 

  3. Servetto, S.D., Ramchandran, K., Orchard, M.T.: Image coding based on a morhplogical representation of wavelet data. IEEE Trans. IP 8, 1161–1174 (1999)

    Google Scholar 

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

    Article  Google Scholar 

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

    Article  MATH  Google Scholar 

  6. Tung, C.-l., Chen, T.-S., Wang, W.-H.A., Yeh, S.-T.: A New Improvement of SPIHT Progressive Image Transmission. In: IEEE Internat. Conf. on Multimedia Software Engineering (2003)

    Google Scholar 

  7. Bayazit, U.: Significance map pruning and other enhancements to SPIHT image coding algorithm. Signal Processing: Image Communication 18, 769–785 (2003)

    Article  Google Scholar 

  8. Shi, M., Xie, S.: A Lossless Image Compression Algorithm by Combining DPCM with Integer Wavelet Transform. In: IEEE Internat. Conf. on Mobile and Wireless Comm., pp. 293–296 (2004)

    Google Scholar 

  9. Cohen, A., Daubechies, I., Feauvcau, J.C.: Biorthogonal bases of compactly supported wavelets. Communications on Pure and Appl. Math. 5, 485–560 (1992)

    Article  Google Scholar 

  10. ISO/IEC FCD15444-1:2000 V1.0: JPEG 2000 Image Coding System. offical release expected (March 2001)

    Google Scholar 

  11. ISO/IEC JTC1/SC29/WG11, FDC 14496-1: Coding of Moving Pictures and Audio (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, China

    Guoyuo Wang & Wentao Wang

  2. College of Computer Science, South-Central University for Nationalities, Minyuan Road, Wuhan, 430074, China

    Wentao Wang

Authors
  1. Guoyuo Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wentao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yu-Ping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, G., Wang, W. (2005). A Novel Wavelet Image Coding Based on Non-uniform Scalar Quantization. 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_131

Download citation

  • DOI: https://doi.org/10.1007/11596981_131

  • 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

Search

Navigation