Book Details

A Survey on Embedded Zero Tree Wavelet

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Download this PDF format


An image compression method shows dynamic part in multimedia and satellite applications. Wavelet transforms need conventional significant care newly due to their suitability for a number of signal and image compression applications and they have established their viability for the same. This is mainly due to the lapped nature of this transform and the computational simplicity, which comes in the form of filter bank implementations. In this paper, we discuss zero tree, embedded Zero Tree and Zero Tree Wavelet Coders such as Embedded Zero tree Wavelet (EZW) coder, EZW algorithm.


[1] M. Antonini, M. Barlaud, P. Mathieu and Daubechies, “Image Coding using Wavelet Transform”, IEEE Transaction on Image Processing, Vol. 1, No. 2, April, 1992, pp 205-220.

[2] J. M. Shapiro, “Embedded Image coding using zero-tree of wavelet coefficients”, IEEE Transactions on Signal Processing, Vol. 41, No. 12, December, 1993, pp 3445 – 3462.

[3] A. Said and W.A.Pearlman, “A New, Fast and Efficient Image Codec based on Set Partitioning in Hierarchical Trees”, IEEE Transaction on Circuits and Systems for Video Technology, Vol. 6, No. 3, June, 1996, pp 243-250.

[4] J. K. Rogers and P. C. Cosman, “Wavelet zero tree image compression with packetization”, IEEE Signal Processing Letters, Vol. 5, No. 5, May 1998, pp 105 – 107.

[5] R. M. Rao and A. S. Bopardikar, “Wavelet Transforms: Introduction to theory and applications”, Pearson Education Asia Pte. Ltd., New Delhi, 2000.

[6] J. Chen, T-h.yu and X.Wu, “Non Embedded Wavelet Image Coding Scheme”, IEEE Proceedings on ICASSP/ICIP, 1997, pp 584-587.

[7] K. Sayood, Introduction to Data Compression, Harcourt India private limited, New Delhi, 2000.

[8] S.Arivazhagan and Dr.L.Ganesan, “Performance analysis of Wavelet Filter banks for Image Compression”, Proceedings of International Conference – APT 2000 on “Advances in Telecommunication and Information Technology”, December, 2000, pp 117 – 123.

[9] L.H.Witten, R.M.Neal and J.G.Cleary, “Arithmetic coding for data compression”, Communication ACM, Vol. 30, June, 1987, pp 520-540.

[10] Embedded Zerotree Wavelet Encoding – C. Valens, 1999

[11] Chuan-jiang He, Gao-ping Li, Xiao-naShen. “Interpolation decoding method with variable parameters for fractal image compression”, Chaossolitons & fractals.2005

[12] Anuradha Iyer, Kyungsukpyun, Yingzong Huang, Deirdre B.O’Brien, Robert M.Gray, “Beta wavelets. Synthesis and application to lossy image compression”, Signal processing Image communication, 2005.



Zero Tree, Embedded Zero Tree Wavelet (EZW), EZW Coder, EZW algorithm.

  • Format Volume 2, Issue 2, No 3, 2014
  • Copyright All Rights Reserved ©2014
  • Year of Publication 2014
  • Author Dr.T. Karthikeyan, C. Thirumoorthi
  • Reference IJCS-061
  • Page No 353-357

Copyright 2021 SK Research Group of Companies. All Rights Reserved.