Locally adaptive fuzzy image enhancement

  • H. R. Tizhoosh
  • G. Krell
  • B. Michaelis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1226)


In recent years, some researchers have applied the concept of fuzziness to develop new enhancement algorithms. The global fuzzy image enhancement methods, however, fail occasionally to achieve satisfactory results. In this work, we introduce a locally adaptive version of two existing fuzzy image enhancement algorithms to overcome this problem.


fuzzy image enhancement minimization of fuzziness histogram hyperbolization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • H. R. Tizhoosh
    • 1
  • G. Krell
    • 1
  • B. Michaelis
    • 1
  1. 1.Institute for Measurement Technology and ElectronicsOtto-von-Guericke-University MagdeburgMagdeburgGermany

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