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Improved Fuzzy Image Enhancement Using L*a*b* Color Space and Edge Preservation

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Book cover Intelligent Systems Technologies and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 384))

Abstract

Image enhancement is a process of improving the perceptibility of an image so that the output image is better than input image. The traditional image enhancement techniques may affect the edges of an image which leads to loss of perceptual information. The existing techniques use primary/secondary color spaces which are device-dependent. This research paper works on these two issues. It uses L*a*b* color space which is device independent. To evaluate fuzzy membership values, L component is stretched while preserving the chromatic information a and b. Moreover, an edge preserving smoothing has been integrated with fuzzy image enhancement so that edges are not affected and remain preserved. The proposed technique is compared with existing techniques such as Histogram equalization, Adaptive histogram equalization and fuzzy based enhancement. The experimental results indicate that the proposed technique outperforms the existing techniques.

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Author information

Authors and Affiliations

  1. Department of Computer Science, DAV University, Jalandhar, Punjab, India

    Shruti Puniani & Sankalap Arora

Authors
  1. Shruti Puniani
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  2. Sankalap Arora
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Corresponding author

Correspondence to Shruti Puniani .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’ Informazione (DINFO) , Universita degli Studi di Firenze, Firenze, Italy

    Stefano Berretti

  2. School of CS/IT, Indian Institute of Information Tech. and Management – Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

  3. Indian Institute of Management Rohtak, Rohtak, Haryana, India

    Praveen Ranjan Srivastava

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© 2016 Springer International Publishing Switzerland

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Puniani, S., Arora, S. (2016). Improved Fuzzy Image Enhancement Using L*a*b* Color Space and Edge Preservation. In: Berretti, S., Thampi, S., Srivastava, P. (eds) Intelligent Systems Technologies and Applications. Advances in Intelligent Systems and Computing, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-319-23036-8_40

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  • DOI: https://doi.org/10.1007/978-3-319-23036-8_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23035-1

  • Online ISBN: 978-3-319-23036-8

  • eBook Packages: EngineeringEngineering (R0)

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