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Reseach Article

Palmprint Compression using Wavelet based Contourlet Transform and SPIHT

by V. Mohan, Y. Venkataramani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 10
Year of Publication: 2014
Authors: V. Mohan, Y. Venkataramani

V. Mohan, Y. Venkataramani . Palmprint Compression using Wavelet based Contourlet Transform and SPIHT. International Journal of Computer Applications. 91, 10 ( April 2014), 27-31. DOI=10.5120/15918-5025

@article{ 10.5120/15918-5025,
author = { V. Mohan, Y. Venkataramani },
title = { Palmprint Compression using Wavelet based Contourlet Transform and SPIHT },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 10 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { },
doi = { 10.5120/15918-5025 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:12:23.609514+05:30
%A V. Mohan
%A Y. Venkataramani
%T Palmprint Compression using Wavelet based Contourlet Transform and SPIHT
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 10
%P 27-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Wavelets are capable of approximating images with sharp discontinuities but not good at the approximation of images with smooth contours. Hence contourlet transform was introduced. It produces an efficient multi resolution and directional decomposition of an image using a laplacian pyramidal decomposition and a directional filter bank. It has good approximation capability for smooth 2D signals. A non-redundant version of this transform, Wavelet Based Contourlet Transform (WBCT) is appropriate for image compression. In this work, the use of WBCT for the compression of palmprint database and its performance are evaluated. The experimental results show that this coding is competitive to the wavelet based compression technique and provides visually superior quality of reconstruction for the mentioned images.

  1. M. N. Do, Directional multiresolution image representations. PhD thesis, EPFL, Lausanne, Switzerland, Dec. 2001.
  2. M. N. Do and M. Vetterli, "Contourlets in Beyond Wavelets", Academic Press, New York, 2003.
  3. P. Hong and M. J. T. Smith, "An octave-band family of nonredundant directional filter banks", IEEE proceedings of ICASSP, vol. 2, pp. 1165-1168, 2002.
  4. Y. Lu and M. N. Do, "CRISP-contourlets: a critically sampled directional multiresolution image representation," in proc. of SPIE conference on Wavelet Applications in Signal and Image Processing X, San Diego, USA, August 2003.
  5. Arthur L. da Cunha, Jianping Zho and Minh N. Do, "The Nonsubsampled Contourlet Transform: Theory, Design and Applications", IEEE Transactions on Image Processing, Vol. 15, No. 10, pp. 3089 – 3101, Oct. 2006.
  6. Ramin Eslami, Hayder Radha, "Wavelet-Based Contourlet Transform and its Application to Image Coding", IEEE International Conference on Image Processing (ICIP 2004), Vol. 5, pp. 3189-3192, Oct. 2004.
  7. S. M. Phoong, C. W. Kim, P. P. Vaidyanathan, and R. Ansari, "A new class of two- channel biorthogonal filter banks and wavelet bases," IEEE trans. on SP, vol. 43, no. 3, pp. 649-665, Mar. 1995.
  8. R. Sudhakar, R. Karthiga, and S. Jayaraman, "Fingerprint Compression Using Contourlet Transform with Modified SPIHT Algorithm", Iranian Journal Of Electrical And Computer Engineering, Vol. 5, No. 1, Winter-Spring 2006.
  9. Said and W. A. Pearlman, "A New Fast and Efficient Image Codec Based on Set Partitioning in Hierarchical Trees," IEEE Trans. on Circuits and Systems for Video Technology, vol. 6, pp. 243-250,June,1996.
  10. R. H. Bamberger, M. J. T. Smith, "A filter bank for the directional decomposition of images: Theory and design", IEEE Trans. Signal Processing, vol. 40, no. 4, pp. -882–893, April 1992.
  11. Song Zhao, Yan Xu,,Hengjian Li, and Heng Yang, "A Comparison of Lossless coompression Methods for Palmprint Images", Journal of Software, Vol. 7, No. 3, March 2012
Index Terms

Computer Science
Information Sciences


Palmprint compression Wavelet Based Contourlet Transform Repositioning of WBCT Coefficients SPIHT encoding of WBCT coefficients.