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International Conference on Computer Analysis of Images and Patterns

CAIP 2015: Computer Analysis of Images and Patterns pp 494–505Cite as

Image Contrast Enhancement by Distances Among Points in Fuzzy Hyper-Cubes

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9257))

Abstract

A new geometrical fuzzy approach for image contrast enhancement is here presented. Synergy among ascending order statistics and entropy evaluations are exploited to get contrast enhancement by evaluation of distances among points inside fuzzy unit hyper-cube. The obtained results can be considered interesting, especially compared with consolidated techniques which encourages further studies in this direction.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Civile, Energia, Ambiente e Materiali (DICEAM), Universitá Mediterranea Degli Studi di Reggio Calabria, Cittadella Universitaria - Feo di Vito, 89122, Reggio Calabria, Italy

    Mario Versaci, Salvatore Calcagno & Francesco Carlo Morabito

Authors
  1. Mario Versaci
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  2. Salvatore Calcagno
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  3. Francesco Carlo Morabito
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Corresponding author

Correspondence to Mario Versaci .

Editor information

Editors and Affiliations

  1. University of Malta, Msida, Malta

    George Azzopardi

  2. University of Groningen, Groningen, The Netherlands

    Nicolai Petkov

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© 2015 Springer International Publishing Switzerland

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Versaci, M., Calcagno, S., Morabito, F.C. (2015). Image Contrast Enhancement by Distances Among Points in Fuzzy Hyper-Cubes. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9257. Springer, Cham. https://doi.org/10.1007/978-3-319-23117-4_43

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  • DOI: https://doi.org/10.1007/978-3-319-23117-4_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23116-7

  • Online ISBN: 978-3-319-23117-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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