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Reseach Article

Applied Minimized Matrix Size Algorithm on the Transformed Images by DCT and DWT used for Image Compression

by Mohammed Mustafa Siddeq, Ghadah Al-khafaji
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 15
Year of Publication: 2013
Authors: Mohammed Mustafa Siddeq, Ghadah Al-khafaji
10.5120/12040-8000

Mohammed Mustafa Siddeq, Ghadah Al-khafaji . Applied Minimized Matrix Size Algorithm on the Transformed Images by DCT and DWT used for Image Compression. International Journal of Computer Applications. 70, 15 ( May 2013), 33-40. DOI=10.5120/12040-8000

@article{ 10.5120/12040-8000,
author = { Mohammed Mustafa Siddeq, Ghadah Al-khafaji },
title = { Applied Minimized Matrix Size Algorithm on the Transformed Images by DCT and DWT used for Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 15 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 33-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number15/12040-8000/ },
doi = { 10.5120/12040-8000 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:57.697882+05:30
%A Mohammed Mustafa Siddeq
%A Ghadah Al-khafaji
%T Applied Minimized Matrix Size Algorithm on the Transformed Images by DCT and DWT used for Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 15
%P 33-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a simple image compression scheme is proposed, it is based on using two transformation techniques in the frequency domain of DWT and DCT to decompose the image signal and then using Minimize-Matrix-Size algorithm to efficiently encode the compress information that reduces high-frequency matrix size, and makes it easy to be compressed by arithmetic coding. The test results of the suggested method are promising compared with JPEG and JPEG2000 international standards techniques.

References
  1. Sadashivappa, G. and Ananda Babu, K. , 2008. Performance Analysis of Image Coding Using Wavelets. International Journal of Computer Science and Network Security, 8(10), 144-151.
  2. Westwater, R. and Furht, B. 1997. Real-Time Video Compression. Kluwar Academic Publisher, London.
  3. Ghanbari, M. 1999. Video Coding an Introduction to Standard Codecs. Institution of Electrical Engineers, London.
  4. Chen, W. H. and Pratt, W. K. 1984. Scene Adaptive Coder. IEEE. Transactions on Communications, 32(3), 225-232.
  5. Wallace, G. K. 1992. The JPEG Still Picture Compression Standard. IEEE Transactions on Image Processing, 38(1), xviii-xxxiv.
  6. Sayood, K. 2000. Introduction to Data Compression, 2nd ed. , Academic Press, Morgan Kaufman Publishers.
  7. Christopoulos, C. , Skodras, A. and Ebrahimi, T. 2000. The JPEG2000 Still Image XOSING System: an Overview. IEEE Transactions on Consumer Electronics, 46(4), 1103-1127.
  8. Tsai, M. and Hung H. 2005. DCT and DWT based Image Watermarking Using Sub sampling. in Proc. Of the 2005 IEEE Fourth Int. Conf. on Machine Learning and Cybernetics, 5308-5313,China, 2005.
  9. Grigorios D. , Zervas N. , Sklavos N. and Costas E. 2008. Design Techniques and Implementation of Low Power High-Throughput Discrete Wavelet Transform Tilters for JPEG 2000 Standard. WASET , International Journal of Signal Processing 4(1), 36-43.
  10. Esakkirajan S. , Veerakumar T. , Senthil Murugan V. and Navaneethan P. 2008. Image Compression Using Multiwavelet and Multi-stage Vector Quantization. International Journal of Information & Communication Engineering, 4(4), 246-253.
  11. Gonzalez, R. C. and Woods, R. E. 2001. Digital Image Processing. Addison Wesley publishing company.
  12. Ali Al-Haj, 2007. Combined DWT-DCT Digital Image Watermarking, Science Publications, Journal of Computer Science 3 (9), 740-746.
  13. Antonini M. , Barlaud M. , Mathieu P. and Daubechies I. 1992. Image Coding using Wavelet Transform. IEEE Trans. on Image Processing, 1(2), 205–220.
  14. Christopoulos C. , Askelof J. and Larsson M. 2000. Efficient Methods for Encoding Regions of Interest in the Upcoming JPEG 2000 Still Image Coding Standard," IEEE Signal Processing Letters, 7( 9), 247-249.
  15. Rao K. and Yip P. 1990. Discrete Cosine Transform: Algorithms, Advantages, Applications. Academic Press,San Diego, CA, 1990.
  16. Ahmed, N. , Natarajan, T. and Rao, K. R. 1974. Discrete Cosine Transform. IEEE Transactions on Computers, 23, 90-93.
Index Terms

Computer Science
Information Sciences

Keywords

DWT DCT Minimize-Matrix-Size algorithm SS-Algorithm