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Reseach Article

Image Compression with Adaptive Arithmetic Coding

by S. Nigar Sulthana, Mahesh Chandra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 18
Year of Publication: 2010
Authors: S. Nigar Sulthana, Mahesh Chandra
10.5120/386-577

S. Nigar Sulthana, Mahesh Chandra . Image Compression with Adaptive Arithmetic Coding. International Journal of Computer Applications. 1, 18 ( February 2010), 31-34. DOI=10.5120/386-577

@article{ 10.5120/386-577,
author = { S. Nigar Sulthana, Mahesh Chandra },
title = { Image Compression with Adaptive Arithmetic Coding },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 18 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number18/386-577/ },
doi = { 10.5120/386-577 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:47:15.262539+05:30
%A S. Nigar Sulthana
%A Mahesh Chandra
%T Image Compression with Adaptive Arithmetic Coding
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 18
%P 31-34
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An image compression method using the wavelet transform, zero tree coding and adaptive arithmetic coding has been proposed. Here a novel static zeroth order adaptive arithmetic coder is being explored to improve the compression ratio. The proposed method decomposes an image into several subband images using the discrete wavelet transform, decorrelated coefficients quantized by Shapiro's embedded zerotree wavelet algorithm and encoded using static zeroth order adaptive arithmetic coder. The proposed static coder gives a better compression ratio while decreasing the coding time as compared to context based dynamic counterpart. The results obtained were comparable to those obtained by context modeling approach.

References
  1. Jun Wang and Huang H.K, Medical Image Compression by Using Three Dimensional Wavelet Transformation, IEEE Transactions on Medical Imaging, Vol.15,no.4, August 1996.
  2. Lawson S. and Zhu J Image Compression Using Wavelets and JPEG2000", Comm, Electronics and Commn. Engg. Journal, June 2002.
  3. Li J, Cheng P.Y, and Kuo C.C.J., On the Improvement of Embedded Zerotree Wavelet (EZW) Coding, Proc. SPIE: Visual Communication and Image Processing, Vol. 2501,pp. 1490-1501, May 1995.
  4. Shapiro J.M, Embedded image coding using zerotrees of wavelet coefficients,IEEE Transactions on signal processing,vol.41,no.12,pp.3445-3462,December 1993.
  5. Seungjong Kim and Jechang Jeong, Image Compression Using the Wavelet Transform and Context-Based Arithmetic Coding, Proc. SPIE: Second International Conference on Image and Graphics Vol. 4875,pp. 133-140,2002.
  6. Tenkasi V. Ramabadran and Keshi Chen, "Efficient Compression of Medical Images Through Arithmetic Coding, Proc. SPIE: Medical Imaging, Vol. 1234,pp. 761-775, 1990.
  7. Witten I.H,.Nealand R,.cleary J.G, Arithmetic Coding for Data Compression, Comm, ACM, vol. 30, pp 520-540, June 1987.
  8. Wu X. and Chen J.H, Context Modelling and Entropy Coding of Wavelet Coefficients for Image Compression", Proceedings of the 1997 Inter.Conf.on ASSP, pp 3097-3100.
  9. Wu X and Memon N, CALIC-A Context Based Adaptive Image Codec, Proceedings of the 1996 IEEE International Conference on Acoustic, Speech and Signal Processing, pp. 1890-1893.
  10. Zixiang Xiong, Kannan Ramchandran and Michael T.Orchard, Efficient Arithmetic Coding For Wavelet Image Compression, Proc. SPIE: Vol. 3024, pp. 822-833, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Image compression wavelet transform arithmetic coding embedded zero tree wavelets