Hybrid technique for image compression based on five modulus method and K-L-Transform

  • Ghada TH. Younis Department of computer science, College of computer and arithmetic science, mousel University, mousel, Iraq.
  • Maysoon K. Hessin Department of computer science, College of computer and arithmetic science, mousel University, mousel, Iraq.
  • Khalil I. alsaif Department of computer science, College of computer and arithmetic science, mousel University, mousel, Iraq.
Keywords: Image compression, FMM,PCA,KLT, Eigen value.

Abstract

Compression is one of the important field in digital image processing , due to that a lot of technique were adopted in this field. In this research a five modulus was applied on image compression then try to hybrid it with K-L-Transform, then studying the efficiency of each of them individually in addition to the hybrid technique . The hybrid technique give very efficient compression ratio and also the original and retrieved image are very closed to each of them Measuring the correlation factor, PSNR and MSE show approach high recommended for approach.

References

Todd R. Reed. Digital Image Sequence Processing, Compression and Analysis. CRC 2005.
W. B. Pennebaker and J. L. Mitchell,JPEG: Still Image Compression Standard. New York: Van Nostrand, 1993.
David Salomon. Data Compression : The Complete Reference. 4th edition, Springer 2007.
Gabriela Dudek , Przemysław Borys , Zbigniew J. Grzywna, Lossy dictionary-based image compression method, Image and Vision Computing, v.25 n.6, p.883-889, June, 2007.
R.Sudhakar, M. R. Karthiga, and S.Jayaraman, “Image compression using coding of wavelet coefficients – A survey,” ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Special Issue on Image Compression, 2007, www.icgst.com.
F. A. Jassim, 2012, “Five Modulus Method For Image Compression”,signal and image processing :An International Journal (SIPIJ) VOL.3,NO.5.
A. M. Eskicioglu, and P. S. Fisher, “Image quality measures and their performance,” IEEE Trans. Common., vol. 43, no. 12, pp. 2959-2965, Dec. 1995.
Smith I Lindsay, February26,2002,'Atutorial on Principal Components Analysis'.
Wei Zheng1, Yan Zhang2,2012,' A novel improvement to PCA for image classification', Authorized licensed use limited to: IEEE Explore. Downloaded on January 19,2012 at 22:25:50 UTC from IEEE Explore. Restrictions apply.
Roberto Arenas Lara, Yunhong Wang,2011,' Lossless Compression On-Board Remote Sensing Satellites', Authorized licensed use limited to: IEEE Explore. Downloaded on January 19,2012 at 22:17:48 UTC from IEEE Explore. Restrictions apply.
Wei Zheng1, Yan Zhang2,2012,' A novel improvement to PCA for image classification', Authorized licensed use limited to: IEEE Explore. Downloaded on January 19,2012 at 22:25:50 UTC from IEEE Explore. Restrictions apply.
Published
2019-05-12
How to Cite
Younis, G., M. Hessin, and K. alsaif. “Hybrid Technique for Image Compression Based on Five Modulus Method and K-L-Transform”. ZANCO Journal of Pure and Applied Sciences, Vol. 31, no. 2, May 2019, pp. 53-59, doi:10.21271/zjpas.31.s2.7.