Abstract
We combine tools provided by approximation theory and by fuzzy logic, in order to improve image file compression methods. For this aim we use logical operators, t–norms and fuzzy sets to obtain a compressed file and approximate the function obtained this way, by some polynomial, rational function, trigonometric polynomial or spline for decompression. Error estimates and experimental results for the proposed method are presented.
The idea of the paper was raised while the second author was visiting Soft Computing Laboratory at Salerno University.
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© 2006 Springer-Verlag Berlin Heidelberg
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Di Nola, A., Bede, B. (2006). Image File Compression Using Approximation and Fuzzy Logic. In: Di Gesú, V., Masulli, F., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2003. Lecture Notes in Computer Science(), vol 2955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10983652_25
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DOI: https://doi.org/10.1007/10983652_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31019-8
Online ISBN: 978-3-540-32683-0
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