References

Ani, M.S.A. and F.H. Awad, 2013. The JPEG image compression algorithm. Int. J. Adv. Eng. Technol., 6: 1055-1062.
Direct Link  |  

Barnsley, M., 1993. Fractals Everywhere. 2nd Edn., Academic Press, San Diego, CA., USA., ISBN-10: 0120790610, pp: 550.

Barnsley, M.F. and A.D. Sloan, 1988. A better way to compress images. Byte, 13: 215-223.
Direct Link  |  

Barnsley, M.F. and A.E. Jacquin, 1988. Application of recurrent iterated function systems to images. Proceedings of the SPIE Conference on Visual Communications and Image Processing' 88: Third in a Series, October 25, 1988, International Society for Optics and Photonics, Cambridge, Massachusetts, pp: 122-131.

Barnsley, M.F., 1988. Fractal Everywhere. Academic Press, New York, USA.,.

Belloulata, K. and J. Konrad, 2002. Fractal image compression with region-based functionality. IEEE Transact. Image Process., 11: 351-362.
PubMed  |  

Brijmohan, Y. and S.H. Mneney, 2004. Low bit-rate video coding using fractal compression of wavelet subtrees. Proceedings of the 7th Africon Conference on Africa (Africon04), Vol. 1, September 15-17, 2004, IEEE, Durban, South Africa, ISBN:0-7803-8605-1, pp: 39-44.

Cochran, W.O., J.C. Hart and P.J. Flynn, 1996. Fractal volume compression. IEEE. Trans. Visualization Comput. Graphics, 2: 313-322.
CrossRef  |  Direct Link  |  

Cosman, P. and K. Zeger, 1998. Memory constrained wavelet based image coding. IEEE. Signal Process. Lett., 5: 21-23.
Direct Link  |  

Cosman, P., T. Frajka and K. Zeger, 1998. Image compression for memory constrained printers. Proceedings of the International Conference on Image Processing (ICIP98), October 7, 1998, IEEE, La Jolla, San Diego, California, ISBN:0-8186-8821-1, pp: 109-113.

Davoine, F., M. Antonini, J.M. Chassery and M. Barlaud, 1996. Fractal image compression based on delaunay triangulation and vector quantization. IEEE. Trans. Image Process., 5: 338-346.
CrossRef  |  PubMed  |  Direct Link  |  

Fisher, Y., 1994. Fractal image compression. Fractals, 2: 347-361.
Direct Link  |  

Hamzaoui, R., D. Saupe and M. Hiller, 2001. Distortion minimization with fast local search for fractal image compression. J. Visual Commun. Image Represent., 12: 450-468.
CrossRef  |  Direct Link  |  

Hurtgen, B. and C. Stiller, 1993. Fast hierarchical codebook search for fractal coding of still images. Proceedings of the Conference on Video Communications and PACS for Medical Applications Berlin-DL Tentative, October 29, 1993, International Society for Optics and Photonics, Berlin, Germany, pp: 397-408.

Jacquin, A.E., 1992. Image coding based on a fractal theory of iterated contractive image transformations. IEEE Trans. Image Process., 1: 18-30.
CrossRef  |  

Jacquin, A.E., 1990. A novel fractal block-coding technique for digital images. Proceedings of the 1990 International Conference on Acoustics, Speech and Signal Processing ICASSP-90, April 3-6, 1990, IEEE, Atlanta, Georgia, USA, ISBN: 1520-6149, pp: 2225-2228.

Jacquin, A.E., 1993. Fractal image coding: A review. Proc. IEEE., 81: 1451-1465.
CrossRef  |  Direct Link  |  

Katsuyuki, I. and N. Matsushiro, 1998. Image data compression techniques for printers. OKI. Techn. Rev., 64: 73-76.
Direct Link  |  

Li, J., D. Yuan, Q. Xie and C. Zhang, 2008. Fractal image compression by ant colony algorithm. Proceedings of the 9th International Conference for Young Computer Scientists ICYCS 2008, November 18-21, 2008, IEEE, Jinan, China, ISBN: 978-0-7695-3398-8, pp: 1890-1894.

Li, J., J. Takala, M. Gabbouj and H. Chen, 2008. A detection algorithm for zero-quantized DCT coefficients in JPEG. Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, March 31-April 4, 2008, IEEE, Changchun, China, ISBN:978-1-4244-1483-3, pp: 1189-1192.

Li, Z.H., L. Zhao and N.Y. Soma, 2000. Fractal color image compression. Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing, October 17-20, 2000, Gramado, pp: 185-192.

Mandelbrot, B.B., 1982. The Fractal Geometry of Nature. 1st Edn., W.H. Freeman, San Francisco, CA., ISBN: 0716711869.

Mandelbrot, B.B., 1983. The Fractal Geometry of Nature. Macmillan, New York.

Oka, K. and M. Onishi, 1992. Implementation of image compression for printers. Proceedings of the SPIE-IS&T 1992 Symposium on Electronic Imaging: Science and Technology, May 1, 1992, International Society for Optics and Photonics, San Jose, California, pp: 450-454.

Polvere, M. and M. Nappi, 2000. Speed-up in fractal image coding: Comparison of methods. IEEE. Trans. Image Process., 9: 1002-1009.
CrossRef  |  Direct Link  |  

Rawat, C. and S. Meher, 2013. A hybrid image compression scheme using DCT and fractal image compression. Int. Arab. J. Inf. Technol., 10: 553-562.
Direct Link  |  

Sonal, D.K., 2007. A study of various image compression techniques. Coit Cleaners Company, Guru Jhambheswar University of Science and Technology, Rimt-IET, Hisar, India.

Thomas, L. and F. Deravi, 1995. Region-based fractal image compression using Heuristic search. IEEE Trans. Image Process., 4: 823-838.
Direct Link  |  

Vehel, J.L., F. Mendivil and E. Lutton, 2007. Overcompressing JPEG Images with Evolution Algorithms. In: Applications of Evolutionary Computing, Giacobini, M. (Ed.). Springer, Berlin, Germany, ISBN:978-3-540-71804-8, pp: 383-390.

Wallace, G.K., 1991. The JPEG still picture compression standard. Commun. ACM., 34: 30-44.
CrossRef  |  Direct Link  |  

Zhao, Y., Z. Zhu and H. Yu, 2010. Fractal color image coding based on isosceles triangle segmentation. Proceedings of the 2010 International Workshop on Chaos-Fractals Theories and Applications (IWCFTA), October 29-31, 2010, IEEE, Shenyang, China, ISBN: 978-1-4244-8815-5, pp: 486-490.

Zhu, S., L. Yu and K. Belloulata, 2008. An improved fractal image coding algorithm based on adaptive threshold for quadtree partition. Proceedings of the Seventh International Symposium on Instrumentation and Control Technology, October 13, 2008, International Society for Optics and Photonics, Bellingham, Washington, pp: 71290O-71290O.

Zhu, Z.L., Y.L. Zhao and H. YU, 2010. Efficient fractal image compression based on pixels distribution and triangular segmentation. J. Comput. Appl., 2: 337-340.
Direct Link  |