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Digital Image Coding with Hybrid Wavelet Packet Transform

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Advances in Multimedia Information Processing — PCM 2001 (PCM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

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Abstract

The hybrid wavelet packet improves the performance of wavelet packet transform by choosing appropriate quadrature mirror filters. Therefore, it is proposed for digital image compression in this paper. We use a top-down scheme to optimize the hybrid wavelet packet and the wavelet coefficients are quantized with a successive approximation algorithm and then coded with context-based arithmetic coding. Experimental result shows that the proposed algorithm has better performance than SPIHT and EZW for images with complex texture.

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References

  1. J. M. Shapiro, “Embedded Image Coding Using Zerotrces of Wavelet Coefficients”, IEEE Transaction on Signal Processing, vol. 41, no. 12 pp. 3445–3462, December 1993

    Article  MATH  Google Scholar 

  2. A. Said and W. A. Perlman. “ A New, Fast, and Ffficienl Image Codec Rased on Sel Partitioning in Hierarchical trees”. IEEE Transaction on Circuits and System for Video Technology, vol. 6. no. 3 pp.243–250, June 1996.

    Article  Google Scholar 

  3. Servetto, S.; Ramehandran, K.; Orchard, M.,“Morphological Representation of Wavelet Data for image coding”, Acoustics, Speech, and Signal Processing, 1995. ICASSP-95,. 1995 International Conference on vol. 4, PP. 2229–2232, 1995.

    Article  Google Scholar 

  4. R. Coffman, Y. Meyer, S. Quake and V. Wickerhauser, “Signal processing and compression with wavelet packet”. Numerical Algorithm Research Group. Yale University, April 1990

    Google Scholar 

  5. R. A. Hedges and D. Cochran, “Hybrid wavelet packets: a top down approach”. 1998. Conference Record of the Thirty-Second Asilomar Conference on Signals, Systems & Computers, Vol. 2, 1998, pp. 1381–1385.

    Article  Google Scholar 

  6. R. A. Hedgess. “Hybrid wavelet packet analysis”. in Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis. 1998.

    Google Scholar 

  7. A.S. Lewis and G. Knowles. “Image Compression Using the 2-D Wavelet Transform”. IEEE Transaction on Image Processing, vol, 1, no. 2, pp. 224–250, April 1992.

    Article  Google Scholar 

  8. Y, Huang, H. M. Drizen, and N. P. Galatsanos, “Prioritized DCT for Compression and Progressive Transmission of Images”, IEEE Transaction on Image Processing, vol. 1, no. 4, October 1992.

    Google Scholar 

  9. R. Coifman and Y. Wickerhauser, “Entropy-Based Algorithms for Best Basis Selection”. IEEE Transaction on Information Theory, vol. 38, no. 2, pp. 713–718, March 1992.

    Article  MATH  Google Scholar 

  10. H. Witten, R. M. Neal and J. G. Cleary, “Arithmetic Coding for Data Compression”, Comm. ACM, vol. 30, pp. 520–540, June 1987.

    Article  Google Scholar 

  11. Xiaolin Wu, and Nasir Memon, “Context-Based, Adaptive, Lossless Image Coding”, IEEE Transaction on Communications, vol 45, no. 4, pp. 437–444, April 1997.

    Article  Google Scholar 

  12. S.Y, Wang, K.W. Cheungg, C. H. Cheung, L. M. Po, “Embedded Lossless Wavelet-Based Image Coding algorithm with Successive Partitioning and Hybrid bit scanning”, IEEE Signal Processing Society 1999 Workshop on Multimedia Signal Processing September 1999, Copenhagen, Denmark

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, Republic of China

    Pei-Yuan Huang & Long-Wen Chang

Authors
  1. Pei-Yuan Huang
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  2. Long-Wen Chang
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Editor information

Editors and Affiliations

  1. Microsoft Research China, 5/F Beijing Sigma Center 49 Zhichung Road, Haidian District, Beijing, 100080, China

    Heung-Yeung Shum

  2. Institute of Information Science, Academia Sinica, Taiwan

    Mark Liao

  3. Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA

    Shih-Fu Chang

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© 2001 Springer-Verlag Berlin Heidelberg

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Huang, PY., Chang, LW. (2001). Digital Image Coding with Hybrid Wavelet Packet Transform. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_39

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  • DOI: https://doi.org/10.1007/3-540-45453-5_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

  • eBook Packages: Springer Book Archive

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