Abstract
The technique of direct and inverse fuzzy (F-)transforms of three different types is introduced and approximating properties of the inverse F-transforms are described. A method of lossy image compression and reconstruction on the basis of the F-transform is presented.
The paper has been partially supported by the projects 1M0572 and MSM6198898701 of MŠMT ČR.
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References
Hirota, K., Pedricz, W.: Fuzzy relational compression. IEEE Trans. Syst., Man, Cyber. 29, 407–415 (1999)
Di Martino, F., Sessa, S., Loia, V., Perfilieva, I.: An image coding/decoding method based on direct and inverse fuzzy transforms. IEEE Transactions of Fuzzy Systems (2005) (submitted)
Perfilieva, I.: Fuzzy Transform: Application to Reef Growth Problem. In: Demicco, R.B., Klir, G.J. (eds.) Fuzzy Logic in Geology, pp. 275–300. Academic Press, Amsterdam (2003)
Perfilieva, I.: Fuzzy Transforms, Fuzzy Sets and Systems (2004) (submitted)
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© 2006 Springer-Verlag Berlin Heidelberg
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Perfilieva, I. (2006). Fuzzy Transforms and Their Applications to Image Compression. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_3
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DOI: https://doi.org/10.1007/11676935_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32529-1
Online ISBN: 978-3-540-32530-7
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