Literature DB >> 18244733

A new fuzzy logic filter for image enhancement.

F Farbiz1, M B Menhaj, S A Motamedi, M T Hagan.   

Abstract

This paper presents a new fuzzy-logic-control based filter with the ability to remove impulsive noise and smooth Gaussian noise, while, simultaneously, preserving edges and image details efficiently. To achieve these three image enhancement goals, we first develop filters that have excellent edge-preserving capability but do not perform well in smoothing Gaussian noise. Next, we modify the filters so that they perform all three image enhancement tasks. These filters are based on the idea that individual pixels should not be uniformly fired by each of the fuzzy rules. To demonstrate the capability of our filtering approach, it was tested on several different image enhancement problems. These experimental results demonstrate the speed, filtering quality, and image sharpening ability of the new filter.

Entities:  

Year:  2000        PMID: 18244733     DOI: 10.1109/3477.826951

Source DB:  PubMed          Journal:  IEEE Trans Syst Man Cybern B Cybern        ISSN: 1083-4419


  1 in total

1.  A robust generalized fuzzy operator approach to film contrast correction in digital subtraction radiography.

Authors:  Chung-Chu Leung
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

  1 in total

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