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Analysis of Orthogonal and Biorthogonal Wavelet Filters for Image Compression

by Sarita Kumari, Ritu Vijay
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 21 - Number 5
Year of Publication: 2011
Authors: Sarita Kumari, Ritu Vijay
10.5120/2508-3396

Sarita Kumari, Ritu Vijay . Analysis of Orthogonal and Biorthogonal Wavelet Filters for Image Compression. International Journal of Computer Applications. 21, 5 ( May 2011), 17-19. DOI=10.5120/2508-3396

@article{ 10.5120/2508-3396,
author = { Sarita Kumari, Ritu Vijay },
title = { Analysis of Orthogonal and Biorthogonal Wavelet Filters for Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 21 },
number = { 5 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 17-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume21/number5/2508-3396/ },
doi = { 10.5120/2508-3396 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:42.468194+05:30
%A Sarita Kumari
%A Ritu Vijay
%T Analysis of Orthogonal and Biorthogonal Wavelet Filters for Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 21
%N 5
%P 17-19
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the present work we analyze the performance of orthogonal and Biorthogonal wavelet filters for image compression on variety of test images. The test images are of different size and resolution. The compression performance is measured, objectively peak signal to noise ratio and subjectively visual quality of image and it is found that Biorthogonal wavelets outperform the orthogonal ones in both the criteria.

References
  1. Talukder, K. H. and Harada, K. 2008. Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image. IAENG International Journal of Applied Mathematics, 36:1.
  2. Veeraswamy, K. and Srinivas, Kumar S. 2008. An Improved Wavelet Based Image Compression Scheme and Oblivious Watermarking. IJCSNS International Journal of Computer Science and Network Security, 8, 170-177.
  3. Kanvel, T. N. and Monie, E. C. 2009. Performance Measure of Different Wavelets for a Shuffled Image Compression Scheme. IJCSNS International Journal of Computer Science and Network Security, 9, 215-221.
  4. Usevitch, B. E., 2001. A Tutorial on Modern Lossy Wavelet Image Compression: Foundations of JPEG 2000. IEEE Signal Processing Magazine.
  5. Rout, S. 2003. Orthogonal vs Biorthogonal Wavelets for Image Compression. MS Thesis, Virgina Polytechnic Institute and State University, Virgina.
  6. Kharate, G. K., Patil, V. H., Bhale, N. L. 2007. Selection of Mother Wavelet for Image Compression on Basis of Nature of Image. Journal of Multimedia, l2.
  7. Kumari, S. et al. 2010. Performance Analysis of Wavelet Families for Image Compression. Proceedings of National Conference on Advances in Video, Cyber Learning and Electronics, 2010, 24-30.
  8. Kumari, S. et al. 2010. Image Quality Prediction by Minimum Entropy Calculation for Various Filter Banks.’, International Journal of Computer Applications, 7(5), 31-34.
Index Terms

Computer Science
Information Sciences

Keywords

Wavelet transform compression ratio peak signal to noise ratio

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