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Abstract
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Article Information:
Two Suggested Methods for Faster Fractal Image Compression
Taha Mohammed Hasan, Xiangqian Wu and Eman Abdul-Jabar Saad
Corresponding Author: Taha Mohammed Hasan
Submitted: 2011 May, 24
Accepted: 2011 July, 02
Published: 2011 August, 30 |
Abstract:
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In this study, two methods have been suggested for breaking the long encoding time problem of the
encoding process in Fractal Image Compression (FIC). The First, called Zero Mean Intensity Level (ZMIL),
which is based on using an unconventional affine parameter (namely the range block mean) that has better
properties than the conventional offset parameter. As result, it is found that ZMIL gives a high value of
compression ratio (around 18.9% additional compression value), with a high reconstructed image quality and
a reduction in the encoding time of about 27% in comparison with the traditional FIC. The second, called the
speed up (ZMIL) method which is responsible for the reduction of the number of domain blocks needed to be
IFS matched with tested range block by eliminating the symmetry orientations and Reduction Domain Image
Size (RDIS). From the results of this method, the encoding time will be reduced to only one second (i.e.,
reduction about 95% of the time required in the full cases), with a higher increase in the value of compression
ratio and still has a good reconstructed image quality (PSNR).
Key words: Encoding time, fractal, image compression, partition, range block, ,
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Cite this Reference:
Taha Mohammed Hasan, Xiangqian Wu and Eman Abdul-Jabar Saad, . Two Suggested Methods for Faster Fractal Image Compression. Research Journal of Applied Sciences, Engineering and Technology, (08): 756-764.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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