Discrete cosine transform based on uninorms and absorbing norms

Barnabás Bede, Hajime Nobuhara, Imre J. Rudas, János Fodor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Recently it has been shown that in Image Processing, the usual sum and product of the reals are not the only operations that can be used. Several other operations provided by fuzzy logic perform well in this application. We continue this line of research and we propose the use of a pair consisting of a uninorm and an absorbing norm determined by a continuous, strictly increasing generator instead of the classical sum and multiplication. In the present paper the Discrete Cosine Transform (DCT)-based image compression method is generalized by using a pair consisting of a uninorm and an absorbing norm. We show that the results of the proposed method outperform in several cases the classical DCT image compression algorithm.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Pages1982-1986
Number of pages5
DOIs
Publication statusPublished - Nov 7 2008
Event2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008 - Hong Kong, China
Duration: Jun 1 2008Jun 6 2008

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
CountryChina
CityHong Kong
Period6/1/086/6/08

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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  • Cite this

    Bede, B., Nobuhara, H., Rudas, I. J., & Fodor, J. (2008). Discrete cosine transform based on uninorms and absorbing norms. In 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008 (pp. 1982-1986). [4630641] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2008.4630641