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Perceptual Visualization Enhancement of Infrared Images Using Fuzzy Sets

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Transactions on Computational Science XXV

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 9030))

Abstract

Enhancement of infrared (IR) images is a perplexing task. Infrared imaging finds its applications in military and defense related problems. Since IR devices capture only the heat emitting objects, the visualization of the IR images is very poor. To improve the quality of the given IR image for better perception, suitable enhancement routines are required such that contrast can be improved that suits well for human visual system. To accomplish the task, a fuzzy set based enhancement of IR images is proposed in this paper. The proposed method is adaptive in nature since the required parameters are calculated based on the image characteristics. Experiments are carried out on standard benchmark database and the results show the efficacy of the proposed method.

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Acknowledgments

This work is supported by the Defense Research and Development Organization (DRDO), New Delhi India for funding the project under the Directorate of Extramural Research & Intellectual Property Rights (ER & IPR) No. ERIP/ER/1103978/M/01/1347 dated July 28, 2011.

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Authors and Affiliations

  1. School of Computing Science and Engineering, VIT University, Vellore, 632014, Tamil Nadu, India

    Rajkumar Soundrapandiyan & Chandra Mouli P.V.S.S.R.

Authors
  1. Rajkumar Soundrapandiyan
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  2. Chandra Mouli P.V.S.S.R.
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Corresponding author

Correspondence to Chandra Mouli P.V.S.S.R. .

Editor information

Editors and Affiliations

  1. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  2. Sardina Systems OÜ, Tallinn, Estonia

    C.J. Kenneth Tan

  3. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  4. University of Calcutta, Kolkata, India

    Nabendu Chaki

  5. NIIT University, Neemrana, India

    Soharab Hossain Shaikh

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Soundrapandiyan, R., P.V.S.S.R., C.M. (2015). Perceptual Visualization Enhancement of Infrared Images Using Fuzzy Sets. In: Gavrilova, M., Tan, C., Saeed, K., Chaki, N., Shaikh, S. (eds) Transactions on Computational Science XXV. Lecture Notes in Computer Science(), vol 9030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47074-9_1

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  • DOI: https://doi.org/10.1007/978-3-662-47074-9_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47073-2

  • Online ISBN: 978-3-662-47074-9

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