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Design of Fuzzy Relation-Based Image Sharpeners

  • Fabrizio Russo
Part of the Studies in Computational Intelligence book series (SCI, volume 372)

Abstract

Fuzzy relations among pixel luminances are simple and effective tools for the processing of digital images. This chapter shows how fuzzy relations can be adopted in the design of a complete image enhancement systems and successfully address conflicting tasks such as detail sharpening and noise cancellation. For this purpose, the different behaviors of fuzzy relation-based high-pass filters and noise smoothers are explained along with the effects of different parameter settings. Results of computer simulations show that fuzzy relation-based processing is an effective resource for the sharpening of noisy images and is easy to use.

Keywords

fuzzy models fuzzy relations image sharpening noise cancellation detail preservation image quality assessment 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Fabrizio Russo
    • 1
  1. 1.D.E.E.I.University of TriesteTriesteItaly

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