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Fractal Operator Convergence by Analysis of Influence Graph

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1424))

Abstract

The convergence of fractal operator F used in image compression is investigated. A sufficient condition for eventual contractivity is derived by using the adjacency matrix of an influence graph which is determined by the fractal encoder.

The work was sponsored in part by ECU grant CRIT2.

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References

  1. S. Banach, “Sur les operations dans les ensembles abstraits et leur applications aux equations integrales”, Fundamenta Mathematica, vol.3, pp. 133–181, 1922.

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  2. M. F. Barnsley and L. P. Hurd, Fractal image compression, AK Peters. Ltd, Wellesley, MA, 1993.

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  4. Y. Fisher ed., Fractal image compression, Theory and Application, Springer Verlag, New York, 1995.

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  5. A. E. Jacquin, “Image coding based on a fractal theory of iterated contractive image transformations”, IEEE Trans. on Image Processing, vol. 1, no. 1, pp. 18–30, 1992.

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© 1998 Springer-Verlag Berlin Heidelberg

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Skarbek, W. (1998). Fractal Operator Convergence by Analysis of Influence Graph. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_43

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  • DOI: https://doi.org/10.1007/3-540-69115-4_43

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64655-6

  • Online ISBN: 978-3-540-69115-0

  • eBook Packages: Springer Book Archive

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