Fractal Image Compression & Algorithmic Techniques

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends (IJCOT)          
 
© 2013 by IJCOT Journal
Volume-3 Issue-2                          
Year of Publication : 2013
Authors :   Dr. K. Kuppusamy , R.Ilackiya

Citation

  Dr. K. Kuppusamy , R.Ilackiya    "Fractal Image Compression & Algorithmic Techniques" . International Journal of Computer & organization Trends  (IJCOT), V3(2):63-67 Mar - Apr 2013, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract

Fractal image compression is a very advantageous technique based on the representation of an image by a contractive transform. Based on fractals Fractal compression is a lossy compression method for digital images. The method is best suited for textures and natural images, relying on the fact that parts of an image often resemble other parts of the same image. In this paper we review and discuss about the Key issues of image compression, need of compression, its principles, and classes of compression and various compression algorithm of image. We review and discuss the advantages and disadvantages of these algorithms for compressing images for lossless and lossy Techniques.

References

[1] Sachin Dhawan, “A Review of Image Compression and Comparison of its Algorithms” ,IJECT Vol.
[2] Issue 1, March 2011. 2. Huaqing Wang, Meiqing Wang, Tom Hintz, Xiangjian He, Qiang Wu,” Fractal Image Compression on a Pseudo Spiral Architecture”, PO Box 123, Broadway 2007, Australia.
[3] Dr. Loay E. George ,Dr. Eman A. Al-Hilo,” Color FIC by Adaptive Zero-Mean Method”, Proc .of CSIT vol.1 (2011) © (2011) IACSIT Press, Singapore.
[4] Chia jung chang ,”Recent Improvements of compression Techniques “.
[5] Rao, K. R., Yip, P., “Discrete Cosine Transforms - Algorithms,Advantages, Applications”, Academic Press, 1990.
[6] Gersho, A., Gray, R.M., “Vector Quantization and Signal Compression”, Kluwer Academic Publishers, 1991.
[7] Sumathi Poobal, and G. Ravindran,”Comparison of Compression Ability Using DCT and Fractal Technique on Different Imaging Modalities” World Academy of Science, Engineering and Technology 12 2007.
[8] H.S.Chu, “A very fast fractal compression algorithm”, M.S.Thesis, National Tsing Hua University, June, 1997.
[9] Vetterli, M., Kovacevic, J. Wavelets, “Subband Coding”,Englewood Cliffs, NJ, Prentice Hall, 1995, [Online] Available: http://cm.bell labs.com/who/jelena/Book/home.html.
[10] Sonal, Dinesh Kumar,”A STUDY OF VARIOUS IMAGE COMPRESSION TECHNIQUES”.
[11] Subramanya A, “Image Compression Technique,”Potentials IEEE, Vol. 20, Issue 1, pp 19-23, Feb-March2001.

Keywords

: Fractal Image compression, Lossy, Algorithms, Fractals.