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A Fast Encoding Method for Fractal Image Compression
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 1
Year of Publication: 2014
|
10.5120/17335-7093 |
Suryabhan Singh Hada. Article: A Fast Encoding Method for Fractal Image Compression. International Journal of Computer Applications 99(1):6-9, August 2014. Full text available. BibTeX
@article{key:article,
author = {Suryabhan Singh Hada},
title = {Article: A Fast Encoding Method for Fractal Image Compression},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {99},
number = {1},
pages = {6-9},
month = {August},
note = {Full text available}
}
Abstract
The present work is concerned with a review of various techniques of fractal image compression. Firstly variance-ordered domain block search algorithm and then Randomized domain block search algorithm is discussed. An analysis is performed on both of them and on the basis of the analysis a new algorithm is proposed. After that a detailed comparative analysis is performed by implementing the algorithms in Matlab. For our comparison we compare the PSNR of the reconstructed image.
References
- Jacquin A, Image Coding Based on a Fractal Theory of Iterated Contractive Image Transformation, IEEE Trans. Image Process. 1992,IP_1, pp 18-30
- Sang-Moon Lee, "A Fast Variance-Ordered Domain Block Search Algorithm for Fractal Encoding" IEEE 1999
- S. K. Ghosh, Jayanta Mukherjee, P. P. Das, "Fractal Image Compression: a randomized approach" IEEE, March 2004
- Alex Candela, Rahmi Hezar, "An Introduction to Fractal Image Compression" Literature Number: BPRA065 Texas Instruments Europe October 1997
- Yuval Fisher, "Fractal Image Compression" SIGGRAPH '92 Course Notes