QUADTREE FRACTAL COMPRESSION FOR BRAIN MRI IMAGES
Abstract
Significant attention has been given recently to medical image compression due to benefits in archival and transmission of medical images. This paper describes the Quadtree fractal scheme for compression of Brain MRI medical images by defining the Region of Interest (ROI). Set of contractive transformations are found by using Partitioned Iterated Function system (PIFS). Fixed value of contrast scaling factor is used to compute the modified error function in implemented method reducing the encoding time. Various simulations are conducted to test the performance of Quadtree fractal compression scheme using different brain MRI medical images. Results are compared with Uniform partitioning fractal compression technique. Simulation results show good quality near lossless images with high compression ratio and acceptable PSNR values well above 30dB.References
S. Bhavani and K. Thanushkodi, International
Journal on Computer Science and
Engineering 2 (2010) 1429.
W. E. Glenn, SMPTE Journal 102 (1993)
M. Ferni Ukrit, A. Umamageswari and G. R.
Guresh, International Journal of Computer
Applications 8 (2011) 31.
M. F. Barnsley, Fractals Everywhere,
Academic Press, New York, USA (1988),
ISBN: 0-12-079062-9.
A. E. Jacquin, Fractal Theory of Iterated
Markov Operators with Applications to Digital
Image Coding, Ph.D thesis, Georgia Institute
of Technology, USA (1989).
K. M. S. Soyjaudah and I. Jahmeerbacus,
International Journal of Electrical Engineering
Education 39 (2002) 71.
A. E. Jacquin, IEEE Trans. Image Processing
(1992) 18.
J. Kwiatkowiski and W. Walczak, Fractal
Magnification of Medical Images, Information
Tech. in Biomedicine, ASC 47, SpringerVerlag Berlin Heidelberg (2008) 85.
J. Cardinal, IEEE Trans. on Image
Processing 10 (2001) 159.
Y. Fisher, E. W. Jacobs and R. D. Boss,
Fractal Image Compression using Iterated
Transforms, Image and Text Compression,
Kluwer Intl. Series in Engg. and Comp.
Sci. 176 (1992) 35.