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Proceedings of International Conference on Computational Intelligence and Data Engineering pp 197–206Cite as

Image Enhancement Based on Fractional Calculus and Genetic Algorithm

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 28))

Abstract

Image enhancement is an interesting topic in the image processing area. In this work, image enhancement with fractional-order derivative and genetic algorithm is proposed. Fractional-order derivative possesses a non-local property, which is helpful to find the fine edges of the image. In this paper, firstly, fractional-order partial differences are computed in forward x-direction, backward x-direction, forward y-direction, and backward y-direction. These differences are represented based on discrete Fourier transform (DFT). Finally, genetic algorithm (GA) is applied for the fractional-order selection to get optimum results and the fractional-order is chosen in the range from 0 to 1. The experimental results give the superiority of the proposed algorithm than the traditional methods.

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Author information

Authors and Affiliations

  1. Department of ECE, Aditya Engineering College, Surampalem, AP, India

    G. Sridevi

  2. Department of ECE, JNTUK, Kakinada, AP, India

    S. Srinivas Kumar

Authors
  1. G. Sridevi
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  2. S. Srinivas Kumar
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Corresponding author

Correspondence to G. Sridevi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

  2. Department of Information Technology, Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India

    Nagaraju Devarakonda

  3. National Institute of Technology Durgapur, Durgapur, West Bengal, India

    Anirban Sarkar

  4. Eastern International University, Thu Dau Mot, Binh Duong, Vietnam

    Narayan C. Debnath

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Sridevi, G., Srinivas Kumar, S. (2019). Image Enhancement Based on Fractional Calculus and Genetic Algorithm. In: Chaki, N., Devarakonda, N., Sarkar, A., Debnath, N. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 28. Springer, Singapore. https://doi.org/10.1007/978-981-13-6459-4_20

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