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Higher Degree Fuzzy Transform: Application to Stationary Processes and Noise Reduction Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Optimized Fuzzy Transform for Image Compression

Authors : Daniel Paternain, Aranzazu Jurio, Javier Ruiz-Aranguren, Maria Minárová, Zdenko Takáč, Humberto Bustince

Published in: Advances in Fuzzy Logic and Technology 2017

Publisher: Springer International Publishing

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Abstract

In this work we propose an image compression algorithm based on the fuzzy transform. The algorithm tries to find the best fuzzy partition of the functions domain in order to obtain the best compressed image (in terms of quality). To solve the optimization problem we based ourselves in the Gravitational Search Algorithm, in which each agent represents a possible fuzzy partition of a fixed size.

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previous chapter Prioritization of Business Analytics Projects Using Interval Type-2 Fuzzy AHP
next chapter Fuzzy Decision Matrices in Case of a Discrete Underlying Fuzzy Probability Measure
Literature
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Beliakov, G., Bustince, H., Paternain, D.: Image reduction using means on discrete product lattices. IEEE Trans. Image Process. 21, 1070–1083 (2012)MathSciNetCrossRef
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Perfilieva, I., Hurtik, P., Di Martino, F., Sessa, S.: Image reduction method based on the F-transform. Soft Comput. 21, 1847–1861 (2017)CrossRef
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Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: GSA: a gravitational search algorithm. Inf. Sci. 179, 2232–2248 (2009)CrossRefMATH
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Metadata
Title
Optimized Fuzzy Transform for Image Compression
Authors
Daniel Paternain
Aranzazu Jurio
Javier Ruiz-Aranguren
Maria Minárová
Zdenko Takáč
Humberto Bustince
Copyright Year
2018
Book
Advances in Fuzzy Logic and Technology 2017

Print ISBN: 978-3-319-66826-0

Electronic ISBN: 978-3-319-66827-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-66827-7_11

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