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Grayscale Image Enhancement Using Improved Cuckoo Search Algorithm

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Progress in Intelligent Computing Techniques: Theory, Practice, and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 518))

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Abstract

Meta-heuristic algorithms have been proved to play a significant role in the automatic image enhancement domain which can be regarded as an optimization question. Cuckoo search algorithm is one such algorithm which uses Levy flight distribution to find out the optimized parameters affecting the enhanced image. In this paper, improved cuckoo search algorithm is proposed which is used to achieve the better optimized results. The proposed method is implemented on some test images, and results are compared with original cuckoo search algorithm.

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Authors and Affiliations

  1. Guru Nanak Dev University, Amritsar, 143001, Punjab, India

    Samiksha Arora & Prabhpreet Kaur

Authors
  1. Samiksha Arora
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  2. Prabhpreet Kaur
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Corresponding author

Correspondence to Samiksha Arora .

Editor information

Editors and Affiliations

  1. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Manmath Narayan Sahoo

  3. Universiti Malaysia Perlis (UniMAP), School of Mecahtronics Engineering Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia

    M. Murugappan

  4. The University of Exeter, Lecturer The University of Exeter, Exeter, Devon, United Kingdom

    Yulei Wu

  5. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Banshidhar Majhi

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Arora, S., Kaur, P. (2018). Grayscale Image Enhancement Using Improved Cuckoo Search Algorithm. In: Sa, P., Sahoo, M., Murugappan, M., Wu, Y., Majhi, B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-10-3373-5_13

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  • DOI: https://doi.org/10.1007/978-981-10-3373-5_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3372-8

  • Online ISBN: 978-981-10-3373-5

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