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Image Enhancement Using FUZZY Set

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Advances in Human Factors in Simulation and Modeling (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 591))

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Abstract

In this paper, FUZZY set is used to deal with image enhancement problems of some uncertain and inaccurate image. The traditional image enhancement method like histogram modification, image smoothing, image sharpening in verse filters and wiener filter for inaccurate and uncertain image is undesirable. As fuzzy system is capable of representing diverse, non-exact, uncertain and inaccurate knowledge of information, it has attracted the attention of for image enhancement. The generalized enhancement algorithm proposed by Dong Liang Peng and Tie-Jun-Wu in 2002 [1] is not suitable for images having very less gray values, lower contrast, more uncertainly and inaccuracy. A novel approach to generalized image enhancement using fuzzy set is proposed in this paper to overcome the problem.

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Author information

Authors and Affiliations

  1. BVCE JNTUK, Kakinada, AP, India

    Gunamani Jena

  2. CSE BVCE, Amalapuram, India

    Shubhashish Jena & V. Rajesh Bonam

Authors
  1. Gunamani Jena
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  2. Shubhashish Jena
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  3. V. Rajesh Bonam
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Corresponding author

Correspondence to Gunamani Jena .

Editor information

Editors and Affiliations

  1. RDRL-HRF-D, United States Army, Aberdeen Proving Ground, Maryland, USA

    Daniel N. Cassenti

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Jena, G., Jena, S., Rajesh Bonam, V. (2018). Image Enhancement Using FUZZY Set. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_13

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  • DOI: https://doi.org/10.1007/978-3-319-60591-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60590-6

  • Online ISBN: 978-3-319-60591-3

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