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Image Enhancement Using Differential Evolution Based Whale Optimization Algorithm

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Emerging Technology in Modelling and Graphics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 937))

Abstract

This paper proposes an enhancement method of digital images applying differential evolution based whale optimization algorithm (DEWOA). The enhancement is performed by improving the intensity of pixels in a given image. This is realized using a cost function that contains both the local and global information. A comparison of the proposed DEWOA is performed with few recently developed metaheuristic algorithms like PSO, ABC, CSA, and FPA. The simulation results are presented with respect to the background variance, detail variance, PSNR, entropy, and number of detected edges.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Netaji Subhash Engineering College, Kolkata, 700152, West Bengal, India

    Supriya Dhabal & Dip Kumar Saha

Authors
  1. Supriya Dhabal
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  2. Dip Kumar Saha
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Corresponding author

Correspondence to Supriya Dhabal .

Editor information

Editors and Affiliations

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

    Jyotsna Kumar Mandal

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Debika Bhattacharya

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Dhabal, S., Saha, D.K. (2020). Image Enhancement Using Differential Evolution Based Whale Optimization Algorithm. In: Mandal, J., Bhattacharya, D. (eds) Emerging Technology in Modelling and Graphics. Advances in Intelligent Systems and Computing, vol 937. Springer, Singapore. https://doi.org/10.1007/978-981-13-7403-6_54

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  • DOI: https://doi.org/10.1007/978-981-13-7403-6_54

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7402-9

  • Online ISBN: 978-981-13-7403-6

  • eBook Packages: EngineeringEngineering (R0)

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