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Spiral Fractal Image Compression

Abdelrahman Selim, Moawad I. Dessouky, Mohiy M. Hadhoud, Fathi E. Abd El-Samie

Abstract


In this paper, we study the affect of using the spiral architecture instead of the square block decomposition in fractal compression. Comparisons with other systems like the conventional square and the simplified fractal compression systems are presented. A comparison with standard JPEG system is also introduced. We apply these types of fractal compression on a video sequence. We have found that in the case of using the spiral architecture in fractal compression, the produced or decoded image or video has a better visual quality than that produced with the conventional square system and the previously presented simplified system. We found also that all types of fractal compression are better than the JPEG standard. 


Keywords


Image Compression, Fractal, Decomposition, Spiral

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References


Z. D. Liu “Fractal image compression methods: A review” Proceedings of the Third International Conference on Information Technology and Applications (ICITA`05) 1/2005 IEEE

H. Wang, M. Wang, T. Hintz, X He, Q. Wu., “Fractal Image Compression on Pseudo Spiral Architecture” Australian Computer Society, Inc. The 28th Australasian Computer Science Conference, The University of Newcastle, Australia. Conferences in Research and Practice in Information technology, Vol. 38. V. Estivill-Castro, Ed. 2005

X. He, H. Wang, Q. Wu, T. Hintz and N. Hur “Fractal Image Compression on Spiral Architecture” Proceedings of the international Conference on computer Graphics, imaging and visualization (CGIV’06) 3/2006 IEEE

R. Distasi, M. Nappi, and D. Riccio “A Range/Domain Approximation Error-Based Approach for Fractal Image Compression” IEEE trans. On image proc. Vol. 15, No. 1, JAN. 2006

M. Polvere and N. Nappi, “Speed-up in fractal image coding: comparison of methods,” IEEE Trans. Image Process., vol. 9, no. 6, pp.1002–1008, Jun. 2000.

A. Selim, M. M. Hadhoud, M. I. Dessouky and F. E. Abd El-Samie “a simplified fractal image compression algorithm” International Conference Engineering & System ICCES08 Ein-shams Egypt 25-27/11/2008.

B. Wohlberg and G. deJager, “A review of the fractal image coding Literature”, IEEE Trans. On Image Processing, Vol.8, no.12, December 1999.

G. Farhadi “A hybrid image compression scheme using block-based fractal coding” EC-VIP-MC 2003, 4th EURASIP conference focused on Video/Image Processing and Multimedia communications, 2-5 july 2003, Zagrab, Croatia (pp 89-94).

R. L. Stevenson, ‘‘Reduction of coding artifacts in transform image coding’’ im. Proc. ICASSP’ vol. V, 1993, pp401-404.

S. W. A. and S. W. Gersho, ‘‘Improved decoding for transform coding with application to the JPEG baseline systems’’ IEEE Trns. Communication, vol. 40, pp. 251-254, Feb.1992

Z. Fan and R. Eschbach, ‘‘JPEG decompression with reduced artifacts’’ in proc.SPIE 1996 Symp. Image and Video Compression, vol.2186, Feb. 1996, pp.50-55.

X. We, and N Memon, ‘‘context based adaptive loss less image coding’’ IEEE Trans. common, vol.45, pp.437-444. apr.1997.

A. N. Natarajan, T., and K. Rao “Discrete cosine transform” IEEE Trans. Computers, vol. C- 23, pp.90-93, Jan. 1974.

Q. Wu, X.He and T.Hintz, ‘‘Preliminary image compression research using uniform image partioning on Spiral Architecture’’ the 2nd international Conference on information technology and applications, IEEE, pp.216-221,2004

A. E. Jacquin, “fractal image coding: a review” Proceeding of the IEEE 81(10):1451-1465, 1993.

M. F. Barnsley and A. D. Sloan, “A better way to compress images,” Byte Mag., Jan. 1988.

lu Ning “Fractal imaging”, academic press, new york,1997

M. F. Barnsley, “Fractal Everywhere”, academic press, Inc. New York, San Diego (1988).

M. F. Barnsley and L.P. Hurd, “Fractal Image Compression”, A.K. Peters Wellesley, Mass. (1993)


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